Triple

T7205979
Position Surface form Disambiguated ID Type / Status
Subject Riom arrondissement E148666 entity
Predicate hasDepartment P35 FINISHED
Object Puy-de-Dôme E27681 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: Puy-de-Dôme | Statement: [Riom arrondissement, hasDepartment, Puy-de-Dôme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puy-de-Dôme
Context triple: [Riom arrondissement, hasDepartment, Puy-de-Dôme]
  • A. Puy-de-Dôme chosen
    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.
  • B. Puy Mary
    Puy Mary is a prominent volcanic summit in France’s Massif Central, renowned for its distinctive pyramidal shape and panoramic views over the surrounding Cantal region.
  • C. Puyvalador
    Puyvalador is a small mountain commune and former ski resort in the French Pyrenees, known for its lake and natural alpine setting.
  • D. Puy Griou
    Puy Griou is a distinctive volcanic peak in France’s Massif Central, known for its conical shape and panoramic hiking views over the surrounding Cantal region.
  • E. Mont Aigoual
    Mont Aigoual is a prominent peak in the Cévennes range of southern France, known for its panoramic views and historic meteorological observatory.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e94ef5cc81908c33adcedf5c5054 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e51b3ae88190b7d03aa59d6910f5 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:52 p.m.