Triple

T4668735
Position Surface form Disambiguated ID Type / Status
Subject Tarvisio E102909 entity
Predicate nearPass P20119 FINISHED
Object Predil Pass E456672 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: Predil Pass | Statement: [Tarvisio, nearPass, Predil Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Predil Pass
Context triple: [Tarvisio, nearPass, Predil Pass]
  • A. Predil Pass chosen
    Predil Pass is a high mountain pass in the Julian Alps that connects Slovenia and Italy, historically serving as an important trade and military route.
  • B. Grimsel Pass
    Grimsel Pass is a high mountain pass in the Swiss Alps that connects the cantons of Bern and Valais and is known for its dramatic alpine scenery, reservoirs, and winding road popular with motorists and cyclists.
  • C. Fedaia Pass
    Fedaia Pass is a high mountain pass in the Dolomites of northern Italy, known for its scenic views near the Marmolada massif and its importance for alpine tourism and cycling.
  • D. Mortirolo Pass
    Mortirolo Pass is a steep and legendary mountain pass in the Italian Alps, renowned as one of the toughest climbs in professional road cycling.
  • E. Susten Pass
    Susten Pass is a high mountain pass in the Swiss Alps known for its scenic road connecting the cantons of Bern and Uri.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6340ce548190bd436c59f28227d7 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39c275a88190a65ceb1586257d1e completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:15 p.m.