Triple

T3709670
Position Surface form Disambiguated ID Type / Status
Subject General Union of Trade Unions E80976 entity
Predicate relationshipToState P50945 FINISHED
Object integrated into the state apparatus 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: integrated into the state apparatus | Statement: [General Union of Trade Unions, relationshipToState, integrated into the state apparatus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToState
Context triple: [General Union of Trade Unions, relationshipToState, integrated into the state apparatus]
  • A. relationshipType
    Indicates the specific kind of relationship that exists between two or more entities.
  • B. relationshipManaged
    Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
  • C. relationshipToGovernor
    Indicates the specific familial, professional, or social relationship that one entity has to a governor.
  • D. termRelationTo
    Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
  • E. associatedState
    Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:33 p.m.