Triple

T37789239
Position Surface form Disambiguated ID Type / Status
Subject CSRS E942035 entity
Predicate disabilityEligibility P24457 FINISHED
Object federal employees with qualifying disability 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 employees with qualifying disability | Statement: [CSRS, disabilityEligibility, federal employees with qualifying disability]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disabilityEligibility
Context triple: [CSRS, disabilityEligibility, federal employees with qualifying disability]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • B. eligibilityContext chosen
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • C. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • D. eligibilityArea
    Indicates that a specified geographic or conceptual area defines where something (such as a person, item, or activity) is eligible or permitted.
  • E. eligibilityFocus
    Indicates that the relationship or action centers on determining or specifying what qualifies an entity as eligible within a given context.
  • 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb9e8108c8190ae1c7940b1677e95 completed May 6, 2026, 10 p.m.
PD Predicate disambiguation batch_69fbb141605c8190b9c27d70352522db completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:19 p.m.