Triple

T31816189
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Air Force Act E812138 entity
Predicate relatedRegulations P60455 FINISHED
Object Pakistan Air Force Rules E812138 NE 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: Pakistan Air Force Rules | Statement: [Pakistan Air Force Act, relatedRegulations, Pakistan Air Force Rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedRegulations
Context triple: [Pakistan Air Force Act, relatedRegulations, Pakistan Air Force Rules]
  • A. relatedRegulation chosen
    Indicates that there exists a regulatory rule, law, or directive that is associated with, governs, or is otherwise relevant to the referenced entity or activity.
  • B. associatedWithRegulation
    Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
  • C. alsoRegulates
    Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
  • D. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
  • E. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • F. None of above.

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_69f348e846c081908eb468a0665afd55 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e659ab0c481908a4fce2ab11e9da0 completed June 14, 2026, 8:26 a.m.
PD Predicate disambiguation batch_6a0379e7aa0c8190bdc9ee4d54fc821b completed May 12, 2026, 7:05 p.m.
Created at: April 30, 2026, 11:44 p.m.