Triple

T4748849
Position Surface form Disambiguated ID Type / Status
Subject Civilian Marksmanship Program E105427 entity
Predicate relationshipToMilitary P22805 FINISHED
Object supports national defense marksmanship objectives 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: supports national defense marksmanship objectives | Statement: [Civilian Marksmanship Program, relationshipToMilitary, supports national defense marksmanship objectives]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToMilitary
Context triple: [Civilian Marksmanship Program, relationshipToMilitary, supports national defense marksmanship objectives]
  • A. hasMilitaryAssociation chosen
    Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
  • B. militarySpouseOf
    Indicates that one person is or was the legally recognized spouse of another person who is serving or has served in the military.
  • C. militaryStatus
    Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
  • D. hasMilitaryBranch
    Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
  • E. relationshipToState
    Indicates a relationship or connection that an entity has with a particular state or governmental body.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c6f5ac81908a62f9c17e77ac86 completed March 20, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69bd6223defc8190823665a6592c1154 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:20 p.m.