Triple

T414356
Position Surface form Disambiguated ID Type / Status
Subject Wage and Hour Division E9558 entity
Predicate usesEnforcementTool P933 FINISHED
Object investigations 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: investigations | Statement: [Wage and Hour Division, usesEnforcementTool, investigations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesEnforcementTool
Context triple: [Wage and Hour Division, usesEnforcementTool, investigations]
  • A. usedByTool
    Indicates that a particular tool is employed or operated by a specified agent or entity.
  • B. canEnforce
    Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
  • C. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • D. usesInstrument chosen
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • E. hasCheckAndBalanceFunction
    Indicates that one entity performs a checking or limiting role on another entity’s powers, providing oversight and balance within a system.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eebde1d881908fb212bfba9d7c67 completed Feb. 28, 2026, 1:33 p.m.
PD Predicate disambiguation batch_69a2edcff4688190809d83d112ff25a5 completed Feb. 28, 2026, 1:29 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.