Triple

T17600654
Position Surface form Disambiguated ID Type / Status
Subject Col d’Aspin E428690 entity
Predicate locatedIn P40 FINISHED
Object Hautes-Pyrénées NE NERFINISHED

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: Hautes-Pyrénées | Statement: [Col d’Aspin, locatedIn, Hautes-Pyrénées]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hautes-Pyrénées
Context triple: [Col d’Aspin, locatedIn, Hautes-Pyrénées]
  • A. Hautes-Pyrénées chosen
    Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
  • B. Pyrénées-Atlantiques
    Pyrénées-Atlantiques is a department in southwestern France, bordering Spain and the Atlantic Ocean, known for encompassing parts of the Basque Country and Béarn regions.
  • C. Midi-Pyrénées
    Midi-Pyrénées was a former administrative region in southwestern France, centered on Toulouse and known for its diverse landscapes and rich Occitan cultural heritage.
  • D. Béarn
    Béarn is a historic province in southwestern France, nestled in the Pyrenees and known for its distinct cultural identity, Occitan-influenced language, and rich medieval heritage.
  • E. Ariège Pyrenees
    Ariège Pyrenees is a mountainous region in southwestern France known for its scenic Pyrenean landscapes, outdoor activities, and spa and thermal resort towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c48dfc08190ba360e6082cffa87 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.