Triple

T643073
Position Surface form Disambiguated ID Type / Status
Subject Hague Agreement Concerning the International Registration of Industrial Designs E16780 entity
Predicate applicantEligibility P1130 FINISHED
Object natural persons 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: natural persons | Statement: [Hague Agreement Concerning the International Registration of Industrial Designs, applicantEligibility, natural persons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: applicantEligibility
Context triple: [Hague Agreement Concerning the International Registration of Industrial Designs, applicantEligibility, natural persons]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • 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. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • D. applicantType
    Indicates the classification or category of an applicant in relation to an application or selection process.
  • E. eligibleBorrower
    Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f03db7481909e49c325c5f7cdae completed March 1, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69a49d0a0ab481909871461418a00be7 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.