Triple

T30740649
Position Surface form Disambiguated ID Type / Status
Subject Capability Review E782681 entity
Predicate evaluatesAgainst P150895 FINISHED
Object agreed NATO capability targets 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: agreed NATO capability targets | Statement: [Capability Review, evaluatesAgainst, agreed NATO capability targets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evaluatesAgainst
Context triple: [Capability Review, evaluatesAgainst, agreed NATO capability targets]
  • A. evaluatesAs
    Indicates that one entity is judged, interpreted, or assessed as having a particular value, role, or classification in relation to another.
  • B. evaluatesComplianceWith
    Indicates that one entity assesses whether another entity or its behavior meets specified rules, standards, or requirements.
  • C. supportsEvaluation
    Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
  • D. canBeReviewedAgainst chosen
    Indicates that one item may be evaluated, compared, or assessed in relation to another as a reference or standard.
  • E. evaluationBasis
    Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
  • 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f67eec48190a386d1cdb9222d27 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f686140aa08190a35f62572b2db9b6 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:37 p.m.