Triple

T13453147
Position Surface form Disambiguated ID Type / Status
Subject Pudahuel station E311160 entity
Predicate operator P179 FINISHED
Object Metro S.A. E59641 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: Metro S.A. | Statement: [Pudahuel station, operator, Metro S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro S.A.
Context triple: [Pudahuel station, operator, Metro S.A.]
  • A. Metro S.A. chosen
    Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
  • B. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • C. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • D. NFTA Metro
    NFTA Metro is the public transit division serving the Buffalo–Niagara region in New York, operating local buses and light rail services.
  • E. M.T.A.
    "M.T.A." is a humorous American folk song, popularized by the Kingston Trio, about a man doomed to ride Boston’s subway system forever because he lacks the fare to get off.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78acdaae881908825e5308f0ba388 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:41 p.m.