Triple

T25079873
Position Surface form Disambiguated ID Type / Status
Subject Government of Sint Maarten E628154 entity
Predicate sharedCompetence P144537 FINISHED
Object defence 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 | Statement: [Government of Sint Maarten, sharedCompetence, defence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharedCompetence
Context triple: [Government of Sint Maarten, sharedCompetence, defence]
  • A. sharesCompetencesWith
    Indicates that two entities possess and can apply the same or overlapping set of skills, abilities, or areas of expertise.
  • B. competence
    Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
  • C. concurrentCompetenceArea chosen
    Indicates that two or more competence areas are active or applicable at the same time in relation to the same context, task, or entity.
  • D. supportsCompetency
    Indicates that one entity provides the basis, evidence, or reinforcement for the development, validation, or demonstration of a particular competency.
  • E. sharesComplexWith
    Indicates that two entities are components of, or co-residents within, the same larger complex or composite structure.
  • 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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 18, 2026, 6:22 a.m.