Triple

T3709674
Position Surface form Disambiguated ID Type / Status
Subject General Union of Trade Unions E80976 entity
Predicate collectiveBargainingRole P378 FINISHED
Object limited genuine collective bargaining 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: limited genuine collective bargaining | Statement: [General Union of Trade Unions, collectiveBargainingRole, limited genuine collective bargaining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectiveBargainingRole
Context triple: [General Union of Trade Unions, collectiveBargainingRole, limited genuine collective bargaining]
  • A. negotiationRole
    Indicates the specific function or capacity an entity assumes within a negotiation process (e.g., buyer, seller, mediator, or representative).
  • B. laborUnion
    Indicates that an entity is a labor union representing workers in collective employment-related matters.
  • C. negotiatingParty chosen
    Indicates that an entity is actively involved as a participant in a negotiation process with another entity.
  • D. laborMarketRole
    Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
  • E. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc58233788190be3b912a50f61443 completed March 8, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69adc041a8608190a2d543dab6d2ef6c completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:33 p.m.