Triple

T10044911
Position Surface form Disambiguated ID Type / Status
Subject Château-Vieux E207590 entity
Predicate locatedInOldTown P40 FINISHED
Object Vieux-Bayonne E60688 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: Vieux-Bayonne | Statement: [Château-Vieux, locatedInOldTown, Vieux-Bayonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vieux-Bayonne
Context triple: [Château-Vieux, locatedInOldTown, Vieux-Bayonne]
  • A. Bayonne, France chosen
    Bayonne, France is a historic city in southwestern France near the Atlantic coast, known for its Basque culture, medieval old town, and renowned chocolate and cured ham.
  • B. Noraville
    Noraville is a coastal suburb in the Central Coast region of New South Wales, Australia, known for its residential character and proximity to local beaches.
  • C. Pont-Saint-Martin
    Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
  • D. Lacanau
    Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
  • E. Pont-l’Évêque
    Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf62ecf081909c055171b78a883a completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a35fbc081908ec7d359ec3332f2 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:56 p.m.