Triple

T22113061
Position Surface form Disambiguated ID Type / Status
Subject Tucson Convention Center E546464 entity
Predicate publicTransitAccess P1288 FINISHED
Object Sun Tran bus service 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: Sun Tran bus service | Statement: [Tucson Convention Center, publicTransitAccess, Sun Tran bus service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Tran bus service
Context triple: [Tucson Convention Center, publicTransitAccess, Sun Tran bus service]
  • A. Sun Tran bus system chosen
    Sun Tran bus system is the primary public bus transit network serving the city of Tucson and its surrounding areas.
  • B. Metro Bus
    Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
  • C. Metro Bus
    Metro Bus is the public bus transit system serving the Buffalo–Niagara region of Western New York.
  • D. OmniRide bus service
    OmniRide bus service is a public transit system in Northern Virginia that provides local and commuter bus routes connecting suburban communities with major employment and activity centers in the region.
  • E. Omnitrans
    Omnitrans is the primary public bus transit agency serving San Bernardino County and surrounding communities in Southern California.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.