Triple

T1856426
Position Surface form Disambiguated ID Type / Status
Subject Bayonne E41714 entity
Predicate locatedIn P40 FINISHED
Object Labourd E227438 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: Labourd | Statement: [Bayonne, locatedIn, Labourd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labourd
Context triple: [Bayonne, locatedIn, Labourd]
  • A. Labourd chosen
    Labourd is a historic coastal province in the French Basque Country, known for its Basque culture, Atlantic beaches, and towns like Bayonne and Biarritz.
  • B. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • C. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • D. Clermont-Ferrand
    Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
  • E. Rodez
    Rodez is a historic cathedral city in southern France that serves as the capital of the Aveyron department in the Occitanie 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07e5ed48190a7b8858e2b355109 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26f6e1288190a69d4197ce5bd5b1 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:33 p.m.