Triple

T21154632
Position Surface form Disambiguated ID Type / Status
Subject Weapons Instructor Course E521279 entity
Predicate graduatesBecome P53916 FINISHED
Object weapons officers 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: weapons officers | Statement: [Weapons Instructor Course, graduatesBecome, weapons officers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: graduatesBecome
Context triple: [Weapons Instructor Course, graduatesBecome, weapons officers]
  • A. graduates
    Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
  • B. successfulGraduatesReceive
    Indicates that individuals who successfully graduate are given or obtain something, such as a degree, certification, or benefit, as a result of their graduation.
  • C. preparesGraduatesFor
    Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
  • D. graduatesProceedTo chosen
    Indicates that individuals who complete a program or institution subsequently move on to a next stage, such as further education, employment, or another defined destination.
  • E. academyGraduateOf
    Indicates that a person has graduated from or successfully completed a program at a particular academy.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69e5f5f8a5bc819081918c7fa8e4496d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:58 p.m.