Triple

T11893950
Position Surface form Disambiguated ID Type / Status
Subject Line 5–Lilac E282988 entity
Predicate operator P179 FINISHED
Object ViaMobilidade E293550 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: ViaMobilidade | Statement: [Line 5–Lilac, operator, ViaMobilidade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ViaMobilidade
Context triple: [Line 5–Lilac, operator, ViaMobilidade]
  • A. MobilityLink
    MobilityLink is the Maryland Transit Administration’s specialized paratransit service providing door-to-door transportation for people with disabilities who cannot use fixed-route transit.
  • B. ViaMobilidade lines chosen
    ViaMobilidade lines are a set of privately operated urban rail and metro services in São Paulo that complement and interconnect with the city’s main commuter rail network.
  • C. SuperVia
    SuperVia is the main commuter rail operator serving the metropolitan region of Rio de Janeiro, Brazil.
  • D. SolTrans
    SolTrans is a public transit agency serving communities in Solano County, California, providing local and regional bus services.
  • E. BRT TransCarioca
    BRT TransCarioca is a bus rapid transit corridor in Rio de Janeiro that connects key neighborhoods and the international airport, improving high-capacity public transportation across the city.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4180569ac81909137d56374e800c0 completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.