Triple

T20157910
Position Surface form Disambiguated ID Type / Status
Subject Line 4 E491622 entity
Predicate locatedInTransportSystem P8428 FINISHED
Object STC Metro network 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 network | Statement: [Line 4, locatedInTransportSystem, STC Metro network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STC Metro network
Context triple: [Line 4, locatedInTransportSystem, STC Metro network]
  • 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. Silverlink Metro
    Silverlink Metro was a former suburban rail network in London and surrounding areas that operated under the Silverlink franchise until its services were absorbed into the London Overground.
  • E. METRO regional transit network
    The METRO regional transit network is a coordinated public transportation system that connects communities across its service area through buses, trains, and supporting facilities.
  • 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_69da6265f8f0819080b29c752a574088 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.