Triple

T16600254
Position Surface form Disambiguated ID Type / Status
Subject American Postal Workers E403311 entity
Predicate laborRelation P81503 FINISHED
Object unionizedWorkforce 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: unionizedWorkforce | Statement: [American Postal Workers, laborRelation, unionizedWorkforce]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laborRelation
Context triple: [American Postal Workers, laborRelation, unionizedWorkforce]
  • A. laborRelationsWith chosen
    Indicates a formal or informal labor-related relationship or interaction between two parties, such as negotiation, representation, or employment conditions.
  • B. laborRelationsIssue
    Indicates a relationship where there is a dispute, concern, or matter involving labor relations between workers (or their representatives) and employers.
  • C. laborSystem
    Indicates the type or structure of work organization, employment arrangements, and labor relations that govern how work is performed and managed.
  • D. employerRelationship
    Indicates a relationship in which one entity acts as the employer of another, having authority to hire, direct, and compensate the other party for work performed.
  • E. mainLaborLaw
    Indicates that the referenced law is the primary or governing labor/employment law applicable to the situation or entities involved.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d75772c8190b02aef02ea6788e1 completed April 18, 2026, 10:31 a.m.
PD Predicate disambiguation batch_69e296aabc508190b3836a91b49113ad completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:16 a.m.