Triple

T12252413
Position Surface form Disambiguated ID Type / Status
Subject Gelora Bung Tomo Stadium E292004 entity
Predicate safetyRegulationsSubjectTo P34837 FINISHED
Object Indonesian stadium safety regulations 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: Indonesian stadium safety regulations | Statement: [Gelora Bung Tomo Stadium, safetyRegulationsSubjectTo, Indonesian stadium safety regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRegulationsSubjectTo
Context triple: [Gelora Bung Tomo Stadium, safetyRegulationsSubjectTo, Indonesian stadium safety regulations]
  • A. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • B. safetyRegulationEffect
    Indicates how a safety regulation influences or changes the conditions, behaviors, or outcomes associated with the regulated entities.
  • C. subjectToRegulation chosen
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • D. safetyRegulationChange
    Indicates a modification, update, or revision to existing safety regulations governing how something must be designed, operated, or managed.
  • E. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • F. None of above.

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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.