Triple

T16847431
Position Surface form Disambiguated ID Type / Status
Subject TGV Atlantique services E409579 entity
Predicate primaryCityServed P82 FINISHED
Object Hendaye E297314 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: Hendaye | Statement: [TGV Atlantique services, primaryCityServed, Hendaye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendaye
Context triple: [TGV Atlantique services, primaryCityServed, Hendaye]
  • A. Hendaye chosen
    Hendaye is a coastal town in southwestern France on the Atlantic near the Spanish border, known as a gateway to the Basque Country and the Pyrenees.
  • B. Saint-Jean-de-Luz
    Saint-Jean-de-Luz is a historic fishing port and seaside resort town on France’s Basque coast, known for its picturesque bay and well-preserved old town.
  • C. Pau
    Pau is a traditional Hawaiian skirt-like garment, often made from tapa cloth or ti leaves and worn in hula and other cultural practices.
  • D. Pau
    Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
  • E. Pau
    Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a4c2a881908d2797f6e61792d3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.