Triple

T23016851
Position Surface form Disambiguated ID Type / Status
Subject Main Street Square station E573052 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: [Main Street Square station, operator, METRO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: METRO
Context triple: [Main Street Square station, operator, METRO]
  • A. METRO chosen
    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.

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e59a1c8190b8048a399a4727cb completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.