Triple

T13511369
Position Surface form Disambiguated ID Type / Status
Subject States of Guernsey E321146 entity
Predicate hasNoCompetenceIn P42269 FINISHED
Object defence policy 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: defence policy | Statement: [States of Guernsey, hasNoCompetenceIn, defence policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNoCompetenceIn
Context triple: [States of Guernsey, hasNoCompetenceIn, defence policy]
  • A. notCompetentFor
    Indicates that an entity lacks the necessary ability, qualification, or suitability to perform or handle another specified entity or task.
  • B. hasCompetence
    Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
  • C. hasNoJurisdictionOver chosen
    Indicates that one entity lacks the legal authority or power to govern, regulate, or make binding decisions over another entity or matter.
  • D. hasNoLegalAuthority
    Indicates that an entity lacks the official power, right, or authorization to perform a specified action or make binding decisions in a given context.
  • E. notPracticedIn
    Indicates that an entity does not have experience or regular engagement in performing a particular activity, skill, or profession.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.