Triple

T13784461
Position Surface form Disambiguated ID Type / Status
Subject TTC single fare zone E331216 entity
Predicate excludesFromSingleFare P3119 FINISHED
Object UP Express E99224 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: UP Express | Statement: [TTC single fare zone, excludesFromSingleFare, UP Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UP Express
Context triple: [TTC single fare zone, excludesFromSingleFare, UP Express]
  • A. UP Express chosen
    UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
  • B. International Express
    International Express is a nickname for New York City's 7 subway line, known for serving diverse immigrant neighborhoods across Queens and connecting them to Manhattan.
  • C. Universal Express
    Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
  • D. UPS Worldwide Express
    UPS Worldwide Express is a premium international shipping service from UPS that provides fast, time-definite delivery of packages worldwide.
  • E. National Express
    National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0248db988190aa43c3723af25f90 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07b0b2881909b316e3cc67f1ec1 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.