Triple

T10943959
Position Surface form Disambiguated ID Type / Status
Subject Lac du Bourget E258545 entity
Predicate nearMountain P31783 FINISHED
Object Mont du Chat E272809 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: Mont du Chat | Statement: [Lac du Bourget, nearMountain, Mont du Chat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont du Chat
Context triple: [Lac du Bourget, nearMountain, Mont du Chat]
  • A. Mont du Chat chosen
    Mont du Chat is a mountain in the French Alps overlooking Lake Bourget, known for its steep climbs and scenic views popular with cyclists and hikers.
  • B. Mont Pèlerin
    Mont Pèlerin is a mountain in the canton of Vaud, Switzerland, overlooking Lake Geneva and known for its scenic views and vineyards.
  • C. Mont Panié
    Mont Panié is the highest mountain in New Caledonia, known for its rich biodiversity and dense rainforest ecosystems.
  • D. Mont Gerbier de Jonc
    Mont Gerbier de Jonc is a distinctive volcanic mountain in the Massif Central of France, renowned as the symbolic birthplace of the Loire River.
  • E. Mont Tendre
    Mont Tendre is the highest peak of the Swiss Jura, known for its gentle pastures, panoramic views over Lake Geneva and the Alps, and popular hiking routes.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c2dea008190af68336a096b7f7c completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.