Triple

T4864533
Position Surface form Disambiguated ID Type / Status
Subject 2nd Battalion, 13th Aviation Regiment E108735 entity
Predicate militarySpecialtyArea P5004 FINISHED
Object Army aviation 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: Army aviation | Statement: [2nd Battalion, 13th Aviation Regiment, militarySpecialtyArea, Army aviation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militarySpecialtyArea
Context triple: [2nd Battalion, 13th Aviation Regiment, militarySpecialtyArea, Army aviation]
  • A. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • B. militaryBranchEmphasis
    Indicates a relationship where a military branch is given particular focus, priority, or specialization within a broader military or organizational context.
  • C. militaryDomain
    Indicates that the relationship or action occurs within, pertains to, or is specifically associated with the military sphere or context.
  • D. militaryFunction chosen
    Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
  • E. militaryCharacteristic
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7718e48190af4c0d1abfa87795 completed March 20, 2026, 3:53 p.m.
PD Predicate disambiguation batch_69bd6c27334481909ba8ac80854f7d8e completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:26 p.m.