Triple

T12169694
Position Surface form Disambiguated ID Type / Status
Subject Beanfield Centre E289924 entity
Predicate near P350 FINISHED
Object Enercare Centre E289919 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: Enercare Centre | Statement: [Beanfield Centre, near, Enercare Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enercare Centre
Context triple: [Beanfield Centre, near, Enercare Centre]
  • A. Enercare Centre chosen
    Enercare Centre is a large multi-purpose convention and exhibition facility located within Toronto’s Exhibition Place complex.
  • B. Stan Grad Centre
    The Stan Grad Centre is a major campus building at the Southern Alberta Institute of Technology that serves as a central hub for student services, learning spaces, and administrative offices.
  • C. Tait McKenzie Centre
    Tait McKenzie Centre is a multi-purpose athletic and recreation facility at York University in Toronto, serving as the primary venue for the university’s varsity sports and fitness programs.
  • D. Nova Centre
    Nova Centre is a leisure and entertainment complex in Prestatyn, Wales, featuring facilities such as swimming pools, fitness amenities, and family attractions.
  • E. Sheppard Centre
    Sheppard Centre is a mixed-use commercial complex in North York, Toronto, featuring a shopping mall, offices, and direct access to the Sheppard–Yonge subway station.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a85e42481908c5517a24f7688e0 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.