Triple

T34213384
Position Surface form Disambiguated ID Type / Status
Subject 140th Maintenance Group E877718 entity
Predicate hasSubordinateElementType P38626 FINISHED
Object maintenance squadrons 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: maintenance squadrons | Statement: [140th Maintenance Group, hasSubordinateElementType, maintenance squadrons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubordinateElementType
Context triple: [140th Maintenance Group, hasSubordinateElementType, maintenance squadrons]
  • A. hasElementType
    Indicates that something is composed of or contains elements that are of a specified type.
  • B. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger entity.
  • C. hasSubordinateFunction
    Indicates that one function operates under the authority, control, or scope of another function as its subordinate.
  • D. hasSubOrganizationType chosen
    Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
  • E. hasSubproperty
    Indicates that one property is a more specific version of another property, inheriting its meaning and constraints.
  • 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_69f349b0b4bc819088c1552424089ee9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff891e4b9c8190aa86a339a8944496 completed May 9, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69ff8801180c8190b23e20996ca68e0a completed May 9, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:55 a.m.