Triple

T3782755
Position Surface form Disambiguated ID Type / Status
Subject STM mobile app E85456 entity
Predicate hasRealTimeInfoFor P30947 FINISHED
Object STM metro network E387565 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: STM metro network | Statement: [STM mobile app, hasRealTimeInfoFor, STM metro network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STM metro network
Context triple: [STM mobile app, hasRealTimeInfoFor, STM metro network]
  • A. STM metro chosen
    STM metro is the rapid transit system serving Montreal, Quebec, operated by the Société de transport de Montréal as the backbone of the city’s public transportation network.
  • B. Metro SubwayLink
    Metro SubwayLink is Baltimore’s rapid transit subway system, providing high-frequency rail service across key corridors in the Baltimore metropolitan area.
  • C. Metrovías
    Metrovías is an Argentine private company that operated and managed public transportation services in Buenos Aires, including the city’s underground metro system, for many years.
  • D. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • E. STM bus network
    The STM bus network is the extensive system of urban bus routes serving neighborhoods across the island of Montreal as part of the city’s public transit infrastructure.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb19229c8190a6f0ee4ae7f52dab completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:13 p.m.