Triple

T7217000
Position Surface form Disambiguated ID Type / Status
Subject KC-X program E149560 entity
Predicate acquisitionCategory P75498 FINISHED
Object major defense acquisition program 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: major defense acquisition program | Statement: [KC-X program, acquisitionCategory, major defense acquisition program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acquisitionCategory
Context triple: [KC-X program, acquisitionCategory, major defense acquisition program]
  • A. acquisitionType
    Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
  • B. acquisition
    Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
  • C. acquiredFor
    Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
  • D. partOfAcquisition
    Indicates that one entity is included as a component or element within a larger acquisition event or transaction involving another entity.
  • E. acquisitionTarget
    Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
  • F. None of above. chosen

Provenance (4 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99000dc81908ef4b70729cc00b0 completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e75f84e481909e7866186ae80cff completed March 27, 2026, 8:23 p.m.
PDg Predicate description generation batch_69c6e889854481908c765ce2107f2d3a completed March 27, 2026, 8:28 p.m.
Created at: March 27, 2026, 2:53 p.m.