Triple

T20157945
Position Surface form Disambiguated ID Type / Status
Subject Line 12 (STC Metro) E491624 entity
Predicate hasOperator P179 FINISHED
Object STC 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: STC Metro | Statement: [Line 12 (STC Metro), hasOperator, STC Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STC Metro
Context triple: [Line 12 (STC Metro), hasOperator, STC Metro]
  • A. STC Metro chosen
    STC Metro is the rapid transit system serving Mexico City and some surrounding areas, known as one of the largest and busiest metro networks in Latin America.
  • B. STC Metro
    STC Metro is the rapid transit system serving Riyadh, Saudi Arabia, as part of the city’s integrated public transportation network.
  • C. STL Metro
    STL Metro is a public transit system serving the St. Louis metropolitan area with buses and light rail services.
  • D. Sun Metro
    Sun Metro is the public transportation agency serving the city of El Paso, Texas, operating local bus routes and related transit services.
  • E. CapMetro
    CapMetro is the public transportation authority serving the Austin, Texas metropolitan area, operating bus, rail, and paratransit services.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e18a0c8190a2cc2b305da28047 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.