Triple

T19442019
Position Surface form Disambiguated ID Type / Status
Subject Toronto public transit network E486372 entity
Predicate integratedWith P2830 FINISHED
Object UP Express 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: UP Express | Statement: [Toronto public transit network, integratedWith, UP Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UP Express
Context triple: [Toronto public transit network, integratedWith, 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. SA Express
    SA Express was a South African regional airline that operated domestic and short-haul routes, often feeding traffic to larger national carriers.
  • C. 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.
  • D. Universal Express
    Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
  • E. UPS Worldwide Express
    UPS Worldwide Express is a premium international shipping service from UPS that provides fast, time-definite delivery of packages worldwide.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63365343081908683c29f6c4c194b completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.