Triple

T4889461
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Arenberg E109521 entity
Predicate capital P234 FINISHED
Object Arenberg
Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
 E477700 NE FINISHED

How this triple was built (4 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: Arenberg | Statement: [Duchy of Arenberg, capital, Arenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arenberg
Context triple: [Duchy of Arenberg, capital, Arenberg]
  • A. Arenenberg
    Arenenberg is a historic estate on the shores of Lake Constance in Switzerland, best known as the residence and later death place of Queen Hortense de Beauharnais and a key site of Napoleonic-era history.
  • B. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • C. Mörel
    Mörel is a Swiss village in the canton of Valais that serves as a gateway to the Aletsch Arena in the Alps.
  • D. Bourdigny
    Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • 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: Arenberg
Triple: [Duchy of Arenberg, capital, Arenberg]
Generated description
Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arenberg
Target entity description: Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
  • A. Arenenberg
    Arenenberg is a historic estate on the shores of Lake Constance in Switzerland, best known as the residence and later death place of Queen Hortense de Beauharnais and a key site of Napoleonic-era history.
  • B. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • C. Mörel
    Mörel is a Swiss village in the canton of Valais that serves as a gateway to the Aletsch Arena in the Alps.
  • D. Bourdigny
    Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
  • E. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • F. None of above. chosen

Provenance (5 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e06a81881908734dbdc350a2039 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6d3127448190ab7a967ab78820a4 completed March 21, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69be6dd42bc08190ba4561f74ca7733b completed March 21, 2026, 10:07 a.m.
Created at: March 20, 2026, 1:28 p.m.