Triple

T16038572
Position Surface form Disambiguated ID Type / Status
Subject Bertha of Savoy E389029 entity
Predicate chronologicallySucceededBy P121704 FINISHED
Object Eupraxia of Kiev (as Queen of Germany)
Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
E1191026 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eupraxia of Kiev (as Queen of Germany) | Statement: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eupraxia of Kiev (as Queen of Germany)
Context triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
  • A. Maria Eufrosyne of Zweibrücken
    Maria Eufrosyne of Zweibrücken was a 17th-century German-born Swedish noblewoman and princess, known for her influential role at the Swedish court through her marriage to statesman Magnus Gabriel De la Gardie and her close ties to the royal Vasa line.
  • B. Helena of Waldeck and Pyrmont
    Helena of Waldeck and Pyrmont was a German princess of the House of Waldeck and Pyrmont who became Duchess of Albany through her marriage to Prince Leopold, youngest son of Queen Victoria of the United Kingdom.
  • C. Euphemia of Rügen
    Euphemia of Rügen was a German noblewoman who became Queen consort of Norway through her marriage to King Haakon V in the early 14th century.
  • D. Princess Viktoria Luise of Prussia
    Princess Viktoria Luise of Prussia was the only daughter of German Emperor Wilhelm II and Empress Augusta Victoria, known as the last princess of the German imperial family and a prominent royal figure in early 20th-century Europe.
  • E. Augusta of Saxe-Weimar-Eisenach
    Augusta of Saxe-Weimar-Eisenach was a 19th-century German empress and queen consort of Prussia, known for her cultural patronage and marriage to Emperor Wilhelm I.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eupraxia of Kiev (as Queen of Germany)
Triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
Generated description
Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eupraxia of Kiev (as Queen of Germany)
Target entity description: Eupraxia of Kiev was a Kievan Rus' princess who became Queen of Germany and Holy Roman Empress through her marriage to Emperor Henry IV.
  • A. Maria Eufrosyne of Zweibrücken
    Maria Eufrosyne of Zweibrücken was a 17th-century German-born Swedish noblewoman and princess, known for her influential role at the Swedish court through her marriage to statesman Magnus Gabriel De la Gardie and her close ties to the royal Vasa line.
  • B. Helena of Waldeck and Pyrmont
    Helena of Waldeck and Pyrmont was a German princess of the House of Waldeck and Pyrmont who became Duchess of Albany through her marriage to Prince Leopold, youngest son of Queen Victoria of the United Kingdom.
  • C. Euphemia of Rügen
    Euphemia of Rügen was a German noblewoman who became Queen consort of Norway through her marriage to King Haakon V in the early 14th century.
  • D. Princess Viktoria Luise of Prussia
    Princess Viktoria Luise of Prussia was the only daughter of German Emperor Wilhelm II and Empress Augusta Victoria, known as the last princess of the German imperial family and a prominent royal figure in early 20th-century Europe.
  • E. Augusta of Saxe-Weimar-Eisenach
    Augusta of Saxe-Weimar-Eisenach was a 19th-century German empress and queen consort of Prussia, known for her cultural patronage and marriage to Emperor Wilhelm I.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologicallySucceededBy
Context triple: [Bertha of Savoy, chronologicallySucceededBy, Eupraxia of Kiev (as Queen of Germany)]
  • A. present-daySuccessor
    Indicates that one entity is the current-day successor or continuation of another entity (e.g., an institution, organization, or administrative unit).
  • B. introducedAsSuccessorOf
    Indicates that one entity was formally presented or designated to take over the role, position, or function previously held by another entity.
  • C. successorInNorthernLands
    Indicates that one entity becomes the next holder of a role, title, or position specifically within the context of the Northern Lands.
  • D. successorFoundedBy
    Indicates that an entity was founded by the successor of another specified entity.
  • E. successorDeterminedBy
    Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd5acb48190a10e40074fffd425 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdd527cfc8190a616a2334edffd02 completed May 10, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ffdda1a0908190b7c880c5d66f7400 completed May 10, 2026, 1:21 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 4:56 a.m.