Triple

T11873253
Position Surface form Disambiguated ID Type / Status
Subject Defence Equipment and Support E282456 entity
Predicate overseesCapabilityArea P91017 FINISHED
Object land equipment 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: land equipment | Statement: [Defence Equipment and Support, overseesCapabilityArea, land equipment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overseesCapabilityArea
Context triple: [Defence Equipment and Support, overseesCapabilityArea, land equipment]
  • A. includesCapabilityArea chosen
    Indicates that one entity encompasses or contains a specific capability area as part of its overall scope or functionality.
  • B. oversawProgramArea
    Indicates that one entity had managerial or supervisory responsibility over a specific program area associated with another entity.
  • C. overseesDivision
    Indicates that one entity has managerial or supervisory responsibility over a specific division of an organization.
  • D. competenceArea
    Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
  • E. overseesMission
    Indicates that one entity has responsibility for supervising, directing, or managing the execution of a mission undertaken by another entity.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb272f88819090c37c944c5a60ab completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:43 p.m.