Triple

T891347
Position Surface form Disambiguated ID Type / Status
Subject Olympic Stadium (Montreal) E19244 entity
Predicate roofStatus P20761 FINISHED
Object roof has experienced structural and operational problems LITERAL 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: roof has experienced structural and operational problems | Statement: [Olympic Stadium (Montreal), roofStatus, roof has experienced structural and operational problems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roofStatus
Context triple: [Olympic Stadium (Montreal), roofStatus, roof has experienced structural and operational problems]
  • A. roofFeature
    Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
  • B. roofHeight
    Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
  • C. roofFunction
    Indicates the functional role or purpose that a roof serves in relation to the structure it covers.
  • D. architectureProperty
    Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
  • E. builtProperty
    Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
  • F. None of above. chosen

Provenance (4 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad019e448190ab991e85dc6d7708 completed March 1, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69a4aa9372e88190b5a9db4afdc045c6 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4a38ec8190915916d80299ab55 completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:39 p.m.