Triple

T3832800
Position Surface form Disambiguated ID Type / Status
Subject Falkirk Stadium E91052 entity
Predicate hasSafetyCertificate P52261 FINISHED
Object yes 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: yes | Statement: [Falkirk Stadium, hasSafetyCertificate, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSafetyCertificate
Context triple: [Falkirk Stadium, hasSafetyCertificate, yes]
  • A. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • B. hasEnvironmentalCertification
    Indicates that an entity possesses a recognized environmental certification or accreditation attesting to its compliance with specified environmental standards or practices.
  • C. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • D. hasSafetyRole
    Indicates that an entity holds a responsibility or function related to safety within a given context or system.
  • E. hasSecurityClause
    Indicates that an agreement, contract, or document includes a provision specifying security-related requirements, protections, or safeguards.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb88b8a8819082d4bdbc5bc45366 completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:17 p.m.