Triple

T13359005
Position Surface form Disambiguated ID Type / Status
Subject Kent coalfield E318772 entity
Predicate labourRelations P81503 FINISHED
Object strong trade union presence 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: strong trade union presence | Statement: [Kent coalfield, labourRelations, strong trade union presence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: labourRelations
Context triple: [Kent coalfield, labourRelations, strong trade union presence]
  • 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. labour
    Indicates that an entity performs work or exerts effort, typically in a productive, economic, or physical context, often for another entity or purpose.
  • D. mainLaborLaw
    Indicates that the referenced law is the primary or governing labor/employment law applicable to the situation or entities involved.
  • E. laborUnion
    Indicates that an entity is a labor union representing workers in collective employment-related matters.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da62887e588190bd7241c720a112a2 completed April 11, 2026, 3:02 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.