Triple

T1751200
Position Surface form Disambiguated ID Type / Status
Subject York Region Transit E38445 entity
Predicate brand P1500 FINISHED
Object Viva E196947 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: Viva | Statement: [York Region Transit, brand, Viva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva
Context triple: [York Region Transit, brand, Viva]
  • A. Viva chosen
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • B. Viva Las Vegas
    Viva Las Vegas is a 1964 musical romantic comedy film starring Elvis Presley as a race car driver who falls in love with a spirited swimming instructor in Las Vegas.
  • C. La Vie
    La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
  • D. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • E. El Jaleo
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6411cc788190a052b029dbffa7ca completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada989b368819098b788d099f2f8e4 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.