Triple

T21535049
Position Surface form Disambiguated ID Type / Status
Subject A2 (Swiss motorway) E531328 entity
Predicate passesThrough P225 FINISHED
Object Airolo 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: Airolo | Statement: [A2 (Swiss motorway), passesThrough, Airolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airolo
Context triple: [A2 (Swiss motorway), passesThrough, Airolo]
  • A. Airolo chosen
    Airolo is a Swiss alpine village in the canton of Ticino, known as a key transport hub at the southern end of the Gotthard Pass and Tunnel.
  • B. Roggia
    Roggia is a high-speed chicane complex on the Monza circuit used in the Formula One Italian Grand Prix.
  • C. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • D. Bettola
    Bettola is a small Italian town in the Emilia-Romagna region, known for its scenic Apennine setting and traditional rural character.
  • E. Arzerello
    Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ce8d08190b3233d7117a9b1ca completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.