Triple

T4596033
Position Surface form Disambiguated ID Type / Status
Subject Individual Mobilization Augmentees E100205 entity
Predicate benefitToActiveForce P2188 FINISHED
Object reduces need for permanent active-duty end strength 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: reduces need for permanent active-duty end strength | Statement: [Individual Mobilization Augmentees, benefitToActiveForce, reduces need for permanent active-duty end strength]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitToActiveForce
Context triple: [Individual Mobilization Augmentees, benefitToActiveForce, reduces need for permanent active-duty end strength]
  • A. benefitsCause
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or cause.
  • B. hasBenefit chosen
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • C. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • D. benefitsState
    Indicates that one entity provides an advantage, improvement, or positive outcome to a state or governmental entity.
  • E. sectorBenefited
    Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.