Triple

T7750009
Position Surface form Disambiguated ID Type / Status
Subject Italian SS21 E175731 entity
Predicate hasMountainPass P33538 FINISHED
Object Col de Larche E33037 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 Larche | Statement: [Italian SS21, hasMountainPass, Col de Larche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Col de Larche
Context triple: [Italian SS21, hasMountainPass, Col de Larche]
  • A. Col de Larche chosen
    Col de Larche is a high mountain pass in the Alps that connects southeastern France and northwestern Italy, serving as an important transalpine route.
  • 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 la Givrine
    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.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b13af08190b110104fe96ef91e completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8f30ecf808190a19d57a814d45a42 completed March 29, 2026, 9:38 a.m.
Created at: March 27, 2026, 4:08 p.m.