Triple

T1464381
Position Surface form Disambiguated ID Type / Status
Subject Canal Street (Manchester) E31585 entity
Predicate hasSafetyMeasures P22957 FINISHED
Object visible security presence on busy nights 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: visible security presence on busy nights | Statement: [Canal Street (Manchester), hasSafetyMeasures, visible security presence on busy nights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSafetyMeasures
Context triple: [Canal Street (Manchester), hasSafetyMeasures, visible security presence on busy nights]
  • A. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • B. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • C. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • D. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • E. hasSecurityPresence chosen
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5ba2d5c81909ee85713de961fcb completed March 1, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.