Triple

T730265
Position Surface form Disambiguated ID Type / Status
Subject United States Coast Guard Reserve E14814 entity
Predicate recruitmentTarget P10833 FINISHED
Object civilians with no prior military service 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: civilians with no prior military service | Statement: [United States Coast Guard Reserve, recruitmentTarget, civilians with no prior military service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recruitmentTarget
Context triple: [United States Coast Guard Reserve, recruitmentTarget, civilians with no prior military service]
  • A. recruitingScope chosen
    Indicates the extent or boundaries within which recruiting activities are conducted or targeted.
  • B. recruitmentBase
    Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
  • C. recruitmentFrom
    Indicates that one entity recruits or sources members, employees, or participants from another entity.
  • D. targetOfficeSought
    Indicates the specific public or organizational office or position that an individual is seeking or running for.
  • E. targetCandidate
    Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66820548190b373deb117187c2c completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4f9b7608190bf97c8418a26e632 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.