Triple

T6235690
Position Surface form Disambiguated ID Type / Status
Subject No. 5 Force Protection Wing E139471 entity
Predicate militarySpeciality P5004 FINISHED
Object airfield 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: airfield defence | Statement: [No. 5 Force Protection Wing, militarySpeciality, airfield defence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militarySpeciality
Context triple: [No. 5 Force Protection Wing, militarySpeciality, airfield defence]
  • A. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • B. militaryCharacteristic
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
  • C. militaryBranchEmphasis
    Indicates a relationship where a military branch is given particular focus, priority, or specialization within a broader military or organizational context.
  • D. militaryFunction chosen
    Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
  • E. militaryDomain
    Indicates that the relationship or action occurs within, pertains to, or is specifically associated with the military sphere or context.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f236608190997e77b41095883f completed March 22, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69c05601de6481909d0880048fd7b49a completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:23 p.m.