Triple

T1464110
Position Surface form Disambiguated ID Type / Status
Subject Haute-Loire E31579 entity
Predicate capital P234 FINISHED
Object Le Puy-en-Velay E57445 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: Le Puy-en-Velay | Statement: [Haute-Loire, capital, Le Puy-en-Velay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Puy-en-Velay
Context triple: [Haute-Loire, capital, Le Puy-en-Velay]
  • A. Le Puy-en-Velay chosen
    Le Puy-en-Velay is a historic town in south-central France renowned for its volcanic landscape, Marian pilgrimage site, and traditional lace-making.
  • B. Mont-Dore
    Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
  • C. Puy-de-Dôme
    Puy-de-Dôme is a department in central France known for its volcanic landscapes, including the Chaîne des Puys and the iconic Puy de Dôme volcano.
  • D. Mazamet
    Mazamet is a town in southern France known historically for its wool and leather industries, situated in the Tarn department within the Occitanie region.
  • E. Mougins
    Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5b89708819084fb9ba4ff293b8b completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9daa748190865d97f632ab8a37 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8 p.m.