Triple

T461049
Position Surface form Disambiguated ID Type / Status
Subject Juris Doctor E7336 entity
Predicate usedAsQualificationFor P6640 FINISHED
Object attorney 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: attorney | Statement: [Juris Doctor, usedAsQualificationFor, attorney]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsQualificationFor
Context triple: [Juris Doctor, usedAsQualificationFor, attorney]
  • A. qualifiesFrom chosen
    Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
  • B. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • C. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • D. typeOfQualificationPath
    Indicates the specific qualification route or pathway through which an entity attains or is associated with a particular qualification.
  • E. usedAsBasisFor
    Indicates that one entity serves as the foundation, reference, or starting point upon which another entity is developed, derived, justified, or constructed.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbed5b88190a45716812eb4cfdf completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede75b6c81908350103d21f22a03 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.