Triple

T8588268
Position Surface form Disambiguated ID Type / Status
Subject KNDS E203361 entity
Predicate hasCoreCompetency P52737 FINISHED
Object design of armored vehicles 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: design of armored vehicles | Statement: [KNDS, hasCoreCompetency, design of armored vehicles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCoreCompetency
Context triple: [KNDS, hasCoreCompetency, design of armored vehicles]
  • A. hasCompetence
    Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
  • B. hasProfessionalCore chosen
    Indicates that an entity possesses a central set of professional skills, knowledge, or competencies that define its primary professional function or expertise.
  • C. hasCoreFacility
    Indicates that an entity possesses, hosts, or is equipped with a central, shared facility that supports key operations or services.
  • D. hasCoreValue
    Indicates that an entity possesses or is characterized by a fundamental guiding principle or core belief.
  • E. hasCore
    Indicates that one entity possesses, contains, or is built around a central or most essential component represented 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c5e8888190b721e791c449b0df completed March 31, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cc454504448190aaad2af8b17357cd completed March 31, 2026, 10:05 p.m.
Created at: March 30, 2026, 6:23 p.m.