Triple

T12081931
Position Surface form Disambiguated ID Type / Status
Subject Couze Pavin E287700 entity
Predicate hasSourceNear P2064 FINISHED
Object Lac Pavin E287697 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: Lac Pavin | Statement: [Couze Pavin, hasSourceNear, Lac Pavin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lac Pavin
Context triple: [Couze Pavin, hasSourceNear, Lac Pavin]
  • A. Lac Pavin chosen
    Lac Pavin is a deep, nearly circular volcanic crater lake in France’s Auvergne region, renowned for its meromictic waters and scenic setting.
  • B. Lac du Bourget
    Lac du Bourget is a large glacial lake in the Savoie region of southeastern France, known for its scenic Alpine setting and popular recreational activities.
  • C. Lac de Pannecière
    Lac de Pannecière is a large artificial reservoir in the Morvan region of central France, known for its scenic landscapes, outdoor recreation, and role in regulating the Yonne River.
  • D. Étang des Roussières
    Étang des Roussières is a small recreational lake located in the commune of Montigny-le-Bretonneux in north-central France.
  • E. Lac de Madamète
    Lac de Madamète is a scenic high-altitude mountain lake in the Néouvielle massif of the French Pyrenees, known for its clear waters and surrounding granite peaks.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b3ced0819083382a0aceda171a completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:48 p.m.