Triple

T2806731
Position Surface form Disambiguated ID Type / Status
Subject Puy de Sancy E54070 entity
Predicate partOf P40 FINISHED
Object Monts Dore E56438 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: Monts Dore | Statement: [Puy de Sancy, partOf, Monts Dore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monts Dore
Context triple: [Puy de Sancy, partOf, Monts Dore]
  • A. Monts Dore chosen
    Monts Dore is a volcanic mountain range in central France known for its ancient stratovolcano, high plateaus, and popular hiking and winter sports areas.
  • B. Montmorency plateau
    The Montmorency plateau is a raised geographic area in the Val-d'Oise department of northern France, known for its suburban communities overlooking the Paris metropolitan region.
  • C. 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.
  • D. Grands Montets
    Grands Montets is a renowned high-altitude ski area in the French Alps, famous for its challenging off-piste terrain and dramatic views of the Mont Blanc massif.
  • E. Quesnel
    Quesnel is a small city in central British Columbia, Canada, known historically as a Cariboo Gold Rush hub and a regional center for the forestry industry.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde165a448190aa2728ec074daf88 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc676d03081908986026dfe5fc852 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.