Triple

T15402278
Position Surface form Disambiguated ID Type / Status
Subject École des Beaux-Arts de Tours E368349 entity
Predicate regionServed P82 FINISHED
Object Tours metropolitan area E41188 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: Tours metropolitan area | Statement: [École des Beaux-Arts de Tours, regionServed, Tours metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tours metropolitan area
Context triple: [École des Beaux-Arts de Tours, regionServed, Tours metropolitan area]
  • A. Tours chosen
    Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
  • B. Seattle Underground tours
    Seattle Underground tours are guided excursions that explore the buried storefronts, passageways, and history of Seattle’s original street level beneath modern downtown.
  • C. AS Tours Ville
    AS Tours Ville is the former name of the French football club now known as Tours FC.
  • D. CityPass
    CityPass is a private consortium responsible for operating and maintaining the Jerusalem Light Rail system in Israel.
  • E. Tours tramway
    The Tours tramway is a modern light rail transit system serving the city of Tours, France, providing efficient urban transportation along key corridors.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.