Triple

T21985958
Position Surface form Disambiguated ID Type / Status
Subject canton of Le Sancy E542961 entity
Predicate contains P35 FINISHED
Object Mont-Dore 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: Mont-Dore | Statement: [canton of Le Sancy, contains, Mont-Dore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont-Dore
Context triple: [canton of Le Sancy, contains, Mont-Dore]
  • A. Mont-Dore chosen
    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.
  • B. Mont-Dore
    Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
  • C. Puyvert
    Puyvert is a small commune in southeastern France, located in the Vaucluse department within the Provence-Alpes-Côte d'Azur region.
  • D. Longjumeau
    Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
  • E. Montbéliarde
    Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12709cb288190a2620e337fea364c completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.