Triple

T11845898
Position Surface form Disambiguated ID Type / Status
Subject Elder Law Clinic E281773 entity
Predicate hasClientEligibility P84 FINISHED
Object older adults meeting clinic criteria 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: older adults meeting clinic criteria | Statement: [Elder Law Clinic, hasClientEligibility, older adults meeting clinic criteria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClientEligibility
Context triple: [Elder Law Clinic, hasClientEligibility, older adults meeting clinic criteria]
  • A. eligibilityContext
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • B. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • C. eligibility chosen
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • D. positionEligible
    Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
  • E. eligibilityUnit
    Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69d8a254a57481908a1e6ad97919c416 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.