Triple

T7283239
Position Surface form Disambiguated ID Type / Status
Subject Susa E163800 entity
Predicate nearPass P20119 FINISHED
Object Mont Cenis Pass E31992 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: Mont Cenis Pass | Statement: [Susa, nearPass, Mont Cenis Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont Cenis Pass
Context triple: [Susa, nearPass, Mont Cenis Pass]
  • A. Simplon Pass
    Simplon Pass is a high mountain pass in the Swiss Alps that connects the canton of Valais with northern Italy and has long been an important trans-Alpine trade and travel route.
  • B. Col du Mont Cenis chosen
    Col du Mont Cenis is a high mountain pass in the Alps that historically served as a key transalpine route between France and Italy.
  • C. Gotthard Pass
    Gotthard Pass is a major Alpine mountain pass in Switzerland that has long served as a key north–south transit route through the central Alps.
  • D. Léman Pass
    Léman Pass is a regional fare system that allows integrated ticketing and seamless travel across multiple public transport networks in the Greater Geneva area and surrounding cross-border regions.
  • E. Monginevro Pass
    Monginevro Pass is a high mountain pass in the Cottian Alps that forms an important route between Italy and France.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4ec2088190a6713eaa221d49a6 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3ae6a08190820c7096cbfea521 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.