Triple

T29215993
Position Surface form Disambiguated ID Type / Status
Subject Joint Electronics Type Designation System E740667 entity
Predicate classificationDomain P169306 FINISHED
Object military electronics 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 electronics | Statement: [Joint Electronics Type Designation System, classificationDomain, military electronics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: classificationDomain
Context triple: [Joint Electronics Type Designation System, classificationDomain, military electronics]
  • A. classificationAccordingTo
    Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
  • B. classificationRole
    Indicates that one entity serves as a classificatory role or type used to categorize or group another entity.
  • C. textCategory
    Indicates that a piece of text belongs to or is classified under a particular category or type.
  • D. coreCategory
    Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
  • E. category
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • 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_69f07cba2f808190a2746477d4e8345b completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f67de7792c81909b5e4e812d143624 completed May 2, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69f678ce54b081908c26edfd49e39c60 completed May 2, 2026, 10:21 p.m.
PDg Predicate description generation batch_69f67d31cc60819084f64bd056e1ea4d completed May 2, 2026, 10:39 p.m.
Created at: April 28, 2026, 12:13 p.m.