Triple

T13860939
Position Surface form Disambiguated ID Type / Status
Subject Authon, Loir-et-Cher E333193 entity
Predicate locatedInFormerRegion P5057 FINISHED
Object Centre E241348 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: Centre | Statement: [Authon, Loir-et-Cher, locatedInFormerRegion, Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre
Context triple: [Authon, Loir-et-Cher, locatedInFormerRegion, Centre]
  • A. Centre chosen
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Center
    Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • C. Central
    Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
  • D. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • E. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.