Triple

T13765635
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Lauenburg E330732 entity
Predicate significantTown P102273 FINISHED
Object Ratzeburg E1087480 NE FINISHED

How this triple was built (3 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: Ratzeburg | Statement: [Duchy of Lauenburg, significantTown, Ratzeburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratzeburg
Context triple: [Duchy of Lauenburg, significantTown, Ratzeburg]
  • A. Ratzeburg chosen
    Ratzeburg is a historic town in northern Germany known for its island old town and Romanesque cathedral, situated in the lake district of Schleswig-Holstein.
  • B. Rostock
    Rostock is a historic Hanseatic city in northern Germany known for its significant seaport on the Baltic Sea and its long maritime and trading tradition.
  • C. Neubrandenburg
    Neubrandenburg is a historic city in northeastern Germany known for its well-preserved medieval brick Gothic architecture and distinctive city wall with multiple gate towers.
  • D. Schwerin
    Schwerin is a historic city in northern Germany known for its picturesque lakeside setting and landmark Schwerin Castle.
  • E. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantTown
Context triple: [Duchy of Lauenburg, significantTown, Ratzeburg]
  • A. significantUrbanArea
    Indicates that a location is classified as a major or important urban center within a broader geographic or administrative context.
  • B. popularTown
    Indicates that a town is widely liked, frequently visited, or well-regarded by many people.
  • C. primaryTown
    Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
  • D. significantMonument
    Indicates that something is a monument of notable historical, cultural, or symbolic importance.
  • E. notableHumanSettlement chosen
    Indicates that a location is recognized as a significant or noteworthy human settlement, such as a city, town, or village.
  • F. None of above.

Provenance (4 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69dbbe97846c819093b00ea117b64e0d completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 10:10 p.m.