Triple

T2288415
Position Surface form Disambiguated ID Type / Status
Subject .mt E51446 entity
Predicate eligibilityRestrictions P1130 FINISHED
Object none for most second-level names 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: none for most second-level names | Statement: [.mt, eligibilityRestrictions, none for most second-level names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibilityRestrictions
Context triple: [.mt, eligibilityRestrictions, none for most second-level names]
  • A. demographicRestriction
    Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
  • B. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • C. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • D. eligibilityContext
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • E. eligibilityCategory
    Indicates the classification or type of eligibility that applies to an entity 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2497ce881909b05eb9cec67d9e7 completed March 7, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69abbdbb9e4c819085fc588626ec7c09 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.