Triple

T18036826
Position Surface form Disambiguated ID Type / Status
Subject Montbel E431528 entity
Predicate hasNearby P350 FINISHED
Object Lac de Montbel 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: Lac de Montbel | Statement: [Montbel, hasNearby, Lac de Montbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lac de Montbel
Context triple: [Montbel, hasNearby, Lac de Montbel]
  • A. Lac de Montbel chosen
    Lac de Montbel is a large artificial reservoir in southwestern France known for its turquoise waters, scenic surroundings, and recreational activities such as swimming, boating, and hiking.
  • B. Lac de Montalbot
    Lac de Montalbot is a small recreational lake located in the commune of Vigneux-sur-Seine in northern France.
  • C. Lac de Pombie
    Lac de Pombie is a small mountain lake in the French Pyrenees, popular with hikers for its scenic setting beneath the Pic du Midi d’Ossau.
  • D. 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.
  • E. Lac de l’Abbaye
    Lac de l’Abbaye is a scenic glacial lake in France’s Jura region, known for its tranquil setting, surrounding forests, and nearby historic abbey.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3a80508190b667c3f6d14f5c84 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.