Triple

T4596050
Position Surface form Disambiguated ID Type / Status
Subject Air Reserve Technicians E100206 entity
Predicate civilianStatus P10078 FINISHED
Object federal civilian employees 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: federal civilian employees | Statement: [Air Reserve Technicians, civilianStatus, federal civilian employees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: civilianStatus
Context triple: [Air Reserve Technicians, civilianStatus, federal civilian employees]
  • A. isCivilian
    Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
  • B. militaryStatus chosen
    Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
  • C. civicStatus
    Indicates the legal or social standing of an individual within a civic or societal framework, such as marital or citizenship status.
  • D. isCivilianOffice
    Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
  • E. politicalStatusContext
    Indicates the situational or contextual conditions under which a particular political status holds or is evaluated.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593f25888190a4f219e4da494764 completed March 20, 2026, 2:27 p.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.