Triple

T3408612
Position Surface form Disambiguated ID Type / Status
Subject Royal Navy Reserve E71835 entity
Predicate employerRelationship P49123 FINISHED
Object reservists usually maintain civilian careers 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: reservists usually maintain civilian careers | Statement: [Royal Navy Reserve, employerRelationship, reservists usually maintain civilian careers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employerRelationship
Context triple: [Royal Navy Reserve, employerRelationship, reservists usually maintain civilian careers]
  • A. employerIn
    Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
  • B. employer
    Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
  • C. employmentType
    Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
  • D. employerType
    Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
  • E. employerInUniverse
    Indicates that one entity serves as the employer of another within a specified universe, context, or world.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69adadfa73ac8190a163f93e88d217f8 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb21a437c81908bca88d5e123d744 completed March 8, 2026, 5:30 p.m.
Created at: March 8, 2026, 3:15 p.m.