Triple

T9545151
Position Surface form Disambiguated ID Type / Status
Subject La Dôle E230261 entity
Predicate accessPoint P1985 FINISHED
Object Col de la Givrine E170019 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: Col de la Givrine | Statement: [La Dôle, accessPoint, Col de la Givrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Col de la Givrine
Context triple: [La Dôle, accessPoint, Col de la Givrine]
  • A. Col de la Givrine chosen
    Col de la Givrine is a mountain pass in the Jura Mountains of western Switzerland, known for its scenic landscapes and cross-country skiing and hiking routes.
  • B. Col de la Seigne
    Col de la Seigne is a high alpine pass on the border between France and Italy, known as a key crossing point on the popular Tour du Mont Blanc trekking route.
  • C. Col de Larche
    Col de Larche is a high mountain pass in the Alps that connects southeastern France and northwestern Italy, serving as an important transalpine route.
  • D. Col de la Faucille
    Col de la Faucille is a high mountain pass in the French Jura that serves as a key crossing point between the Lake Geneva region and the interior of France.
  • E. Col de Vars
    Col de Vars is a high mountain pass in the French Alps, popular with cyclists and motorists for its scenic route linking the Ubaye and Queyras valleys.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9901f2bc8190a4076f5947660df9 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6cd93c8190ac197afda780ce78 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.