Triple

T10017408
Position Surface form Disambiguated ID Type / Status
Subject Toarcian E199528 entity
Predicate namedAfter P63 FINISHED
Object Thouars
Thouars is a historic town in western France known for its medieval architecture and strategic position overlooking the Thouet River.
 E834868 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: Thouars | Statement: [Toarcian, namedAfter, Thouars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thouars
Context triple: [Toarcian, namedAfter, Thouars]
  • A. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • B. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • C. Saint-Cyriens
    Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
  • D. Monthélie
    Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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: Thouars
Triple: [Toarcian, namedAfter, Thouars]
Generated description
Thouars is a historic town in western France known for its medieval architecture and strategic position overlooking the Thouet River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thouars
Target entity description: Thouars is a historic town in western France known for its medieval architecture and strategic position overlooking the Thouet River.
  • A. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • B. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • C. Saint-Cyriens
    Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
  • D. Monthélie
    Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
  • E. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4c17848190bf1a8017e755ba75 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aa319508190b85b5a5f78603b6a completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b6dfac081908e85d2b1585217b4 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c47d25081908818f18f6b0881b2 completed April 5, 2026, 2:06 p.m.
Created at: March 30, 2026, 8:53 p.m.