Triple

T9749158
Position Surface form Disambiguated ID Type / Status
Subject Indre E236394 entity
Predicate subprefecture P9697 FINISHED
Object La Châtre
La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
E848617 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: La Châtre | Statement: [Indre, subprefecture, La Châtre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Châtre
Context triple: [Indre, subprefecture, La Châtre]
  • A. Châtellerault
    Châtellerault is a historic town in western France, known for its former royal arms factory and its role as an important industrial and transport hub in the Vienne department.
  • B. Cholet
    Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
  • C. Châteauroux
    Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
  • D. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • E. Châteaudun
    Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
  • 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: La Châtre
Triple: [Indre, subprefecture, La Châtre]
Generated description
La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Châtre
Target entity description: La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
  • A. Châtellerault
    Châtellerault is a historic town in western France, known for its former royal arms factory and its role as an important industrial and transport hub in the Vienne department.
  • B. Cholet
    Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
  • C. Châteauroux
    Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
  • D. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • E. Châteaudun
    Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f6a2f8c8190a6f6af6587ee90b8 completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d36947145c8190a0137efdad0bca91 completed April 6, 2026, 8:05 a.m.
NEDg Description generation batch_69d37540b60c8190a52b03c57b4e3708 completed April 6, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69d3763948188190a47f48076fc767cb completed April 6, 2026, 9 a.m.
Created at: March 30, 2026, 8:23 p.m.