Triple

T21539427
Position Surface form Disambiguated ID Type / Status
Subject Grangemouth Refinery E531440 entity
Predicate hasLabourRelationsHistory P81503 FINISHED
Object site of notable industrial disputes and strikes 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: site of notable industrial disputes and strikes | Statement: [Grangemouth Refinery, hasLabourRelationsHistory, site of notable industrial disputes and strikes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLabourRelationsHistory
Context triple: [Grangemouth Refinery, hasLabourRelationsHistory, site of notable industrial disputes and strikes]
  • A. hasMajorEmployerHistory
    Indicates that an entity has a documented history of employment with a major or significant employer.
  • B. laborRelationsWith chosen
    Indicates a formal or informal labor-related relationship or interaction between two parties, such as negotiation, representation, or employment conditions.
  • C. hasLaborRepresentation
    Indicates that an entity is represented by a labor organization, such as a union or workers’ council, in employment-related matters.
  • D. hasHistoricIndustry
    Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
  • E. hasNegativeHistoricalAssociation
    Indicates that one entity is historically linked to another in a way that is viewed as harmful, problematic, or disreputable.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d10a2888190bc4e502a829c76a4 completed April 26, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:27 p.m.