Triple

T2758125
Position Surface form Disambiguated ID Type / Status
Subject GO Transit E61153 entity
Predicate connectsWith P37 FINISHED
Object MiWay E80002 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: MiWay | Statement: [GO Transit, connectsWith, MiWay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MiWay
Context triple: [GO Transit, connectsWith, MiWay]
  • A. MiWay bus services chosen
    MiWay bus services is the public transit system for the City of Mississauga, Ontario, operating local and express bus routes that connect the city with surrounding regions.
  • B. Miles&Go
    Miles&Go is TAP Air Portugal’s loyalty program that allows members to earn and redeem miles for flights, upgrades, and other travel-related benefits.
  • C. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • D. Westway
    Westway is an elevated urban motorway in west London that forms a major part of the A40 route into the city.
  • E. City Line
    City Line is a residential neighborhood in eastern Brooklyn, New York City, located near the borough’s border with Queens.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8ba4688190b401b6eb5b734ac6 completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbe2d9cc81909b041635ae793bc3 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:57 p.m.