Triple

T10669429
Position Surface form Disambiguated ID Type / Status
Subject Château de Pau E251446 entity
Predicate overlooks P1323 FINISHED
Object Gave de Pau E247575 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: Gave de Pau | Statement: [Château de Pau, overlooks, Gave de Pau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gave de Pau
Context triple: [Château de Pau, overlooks, Gave de Pau]
  • A. Gave de Pau chosen
    Gave de Pau is a river in southwestern France that flows through the city of Pau and forms part of the Adour river system in the Pyrenees region.
  • B. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • C. Rebecq
    Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
  • D. Arroux
    Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • E. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98865f700819093c8cadc6fcef75f completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:09 p.m.