Triple

T8838963
Position Surface form Disambiguated ID Type / Status
Subject Institute of Technology (IUT de Poitiers–Niort–Châtellerault) E210337 entity
Predicate locatedIn P40 FINISHED
Object Châtellerault E403968 NE FINISHED

How this triple was built (2 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: [Institute of Technology (IUT de Poitiers–Niort–Châtellerault), locatedIn, Châtellerault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châtellerault
Context triple: [Institute of Technology (IUT de Poitiers–Niort–Châtellerault), locatedIn, Châtellerault]
  • A. Châtellerault chosen
    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. Châteauroux
    Châteauroux is a city in central France that will host the shooting events for the 2024 Summer Olympics.
  • C. 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.
  • D. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60849f8c8190b7735defecf55a5d completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b3a8a248190aa32981bdcbe570d completed April 4, 2026, 5:01 a.m.
Created at: March 30, 2026, 6:48 p.m.