Triple

T18197019
Position Surface form Disambiguated ID Type / Status
Subject South Side of Glasgow E435686 entity
Predicate hasLandmark P105 FINISHED
Object Queen’s Park 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: Queen’s Park | Statement: [South Side of Glasgow, hasLandmark, Queen’s Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen’s Park
Context triple: [South Side of Glasgow, hasLandmark, Queen’s Park]
  • A. Queen’s Park
    Queen’s Park is a large public park and the site of Ontario’s Legislative Building in downtown Toronto, Canada.
  • B. Queen’s Park chosen
    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. Queen’s Park
    Queen’s Park is a historic public park in Loughborough, England, known for its landscaped gardens, bandstand, and community events.
  • D. Queen’s Park
    Queen’s Park is a residential district and public park area in northwest London known for its Victorian terraces, green space, and community atmosphere.
  • E. Queen's Park
    Queen's Park is a notable recreational and cultural venue in St. George's, Grenada, often used for sports events and community gatherings.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d377d48190869a033d12f6ee80 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.