Triple

T1400470
Position Surface form Disambiguated ID Type / Status
Subject Government of Ontario E30768 entity
Predicate seatOfGovernment P761 FINISHED
Object Queen's Park E36386 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: Queen's Park | Statement: [Government of Ontario, seatOfGovernment, Queen's Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen's Park
Context triple: [Government of Ontario, seatOfGovernment, Queen's Park]
  • A. Queen’s Park chosen
    Queen’s Park is a large public park and the site of Ontario’s Legislative Building in downtown Toronto, Canada.
  • B. Queen’s Park
    Queen’s Park is a historic Scottish football club based in Glasgow, known for its amateur roots and significant role in the early development of the sport.
  • C. Hampden Park
    Hampden Park is Scotland’s national football stadium in Glasgow, renowned for hosting major domestic and international matches and historic cup finals.
  • D. Trafford Park
    Trafford Park is a large industrial estate and commercial area in Greater Manchester, England, historically known as one of the world’s first planned industrial parks.
  • E. Barlow Park
    Barlow Park is a public recreational park located in the city of Ripon in central Wisconsin.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad159920d48190ace6bc4d37af75eb completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:59 p.m.