Triple

T19818377
Position Surface form Disambiguated ID Type / Status
Subject Northwest Transit Center E476119 entity
Predicate operator P179 FINISHED
Object METRO 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: METRO | Statement: [Northwest Transit Center, operator, METRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METRO
Context triple: [Northwest Transit Center, operator, METRO]
  • A. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • B. METRO
    METRO is the public transit system serving the Rock Region metropolitan area, providing bus and related transportation services to local residents.
  • C. METRO
    METRO is the public bus transit system serving Santa Cruz County, California.
  • D. Metron
    Metron is a cosmic New God in DC Comics known for his insatiable quest for knowledge and his use of the Mobius Chair to traverse time and space.
  • E. Metro S.A.
    Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fc8b94819095fd5240f33b6713 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.