Triple

T4574667
Position Surface form Disambiguated ID Type / Status
Subject Pyrénées-Atlantiques E123114 entity
Predicate hasMajorCity P316 FINISHED
Object Anglet E168470 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: Anglet | Statement: [Pyrénées-Atlantiques, hasMajorCity, Anglet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anglet
Context triple: [Pyrénées-Atlantiques, hasMajorCity, Anglet]
  • A. Anglet chosen
    Anglet is a coastal city in southwestern France, situated between Bayonne and Biarritz in the French Basque Country and known for its Atlantic beaches and surf culture.
  • B. Villeneuve d’Ascq
    Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
  • C. Boulogne-sur-Mer
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • D. Hendaye
    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.
  • E. Lorient
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c9f0bc81908d87f01ab067818a completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3dde41c81909adf91b53450e590 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.