Triple

T6431640
Position Surface form Disambiguated ID Type / Status
Subject Fork Union Military Academy E129790 entity
Predicate hasDisciplineSystem P70859 FINISHED
Object military structure 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: military structure | Statement: [Fork Union Military Academy, hasDisciplineSystem, military structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisciplineSystem
Context triple: [Fork Union Military Academy, hasDisciplineSystem, military structure]
  • A. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • B. hasGradeSystem
    Indicates that one entity uses, follows, or is governed by a particular grading or evaluation system defined by another entity.
  • C. governingDiscipline
    Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
  • D. hasAwardedDiscipline
    Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
  • E. typeDiscipline
    Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693cadf08190aca84888a3440b3d completed March 22, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69c060f780b08190aa650b4d1fc51f21 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c062d290448190a2183158ef75d129 completed March 22, 2026, 9:44 p.m.
Created at: March 22, 2026, 4:44 p.m.