Triple

T23853842
Position Surface form Disambiguated ID Type / Status
Subject Triangle Waist Company E592247 entity
Predicate cityRegulationImpact P154202 FINISHED
Object led to creation and strengthening of New York State Factory Investigating Commission 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: led to creation and strengthening of New York State Factory Investigating Commission | Statement: [Triangle Waist Company, cityRegulationImpact, led to creation and strengthening of New York State Factory Investigating Commission]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityRegulationImpact
Context triple: [Triangle Waist Company, cityRegulationImpact, led to creation and strengthening of New York State Factory Investigating Commission]
  • A. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • B. cityPolicy
    Indicates a relationship where a city establishes or is governed by a specific policy, rule, or regulatory framework.
  • C. safetyRegulationEffect
    Indicates how a safety regulation influences or changes the conditions, behaviors, or outcomes associated with the regulated entities.
  • D. hasUrbanPlanningRule
    Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
  • E. hasLocalOrdinances
    Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
  • 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_69e25d221d908190b9b502ad31e66a3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c98954748190b39e0ac69e5625f9 completed April 29, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69f1614612b481908c45d99e588882f9 completed April 29, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f16e348b548190b76e50f9b611f76d completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 8:11 p.m.