Triple

T3989805
Position Surface form Disambiguated ID Type / Status
Subject Chatelherault Country Park E86959 entity
Predicate namedAfter P63 FINISHED
Object 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.
E403968 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: Châtellerault | Statement: [Chatelherault Country Park, namedAfter, Châtellerault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châtellerault
Context triple: [Chatelherault Country Park, namedAfter, Châtellerault]
  • A. Châteauroux
    Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
  • B. Montluçon
    Montluçon is a historic industrial town in central France known for its medieval old quarter and role as a key urban center in the Allier department.
  • C. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • 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. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • 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: Châtellerault
Triple: [Chatelherault Country Park, namedAfter, Châtellerault]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Châtellerault
Target entity description: 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.
  • A. Châteauroux
    Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
  • B. Montluçon
    Montluçon is a historic industrial town in central France known for its medieval old quarter and role as a key urban center in the Allier department.
  • C. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • 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. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa01bf3c8190a6fb3bba65186ae6 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403235408190b47b8d4f4e21d094 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b540c5ab7881908b7ebb0af2f9da46 completed March 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69b5415e002881908343ae30b2f8a16c completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:33 p.m.