Triple

T37789248
Position Surface form Disambiguated ID Type / Status
Subject CSRS E942035 entity
Predicate eligibilityCutoffDescription P1130 FINISHED
Object primarily employees first hired before 1984 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: primarily employees first hired before 1984 | Statement: [CSRS, eligibilityCutoffDescription, primarily employees first hired before 1984]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibilityCutoffDescription
Context triple: [CSRS, eligibilityCutoffDescription, primarily employees first hired before 1984]
  • A. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • B. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • C. hasCutoffScore
    Indicates that there is a minimum threshold score that must be met or exceeded for a particular purpose or decision.
  • D. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • E. qualifyingFor
    Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
  • 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_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.