Triple

T288094
Position Surface form Disambiguated ID Type / Status
Subject Order of Leopold E5928 entity
Predicate hasEligibilityCriterion P1130 FINISHED
Object meritorious service in public office 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: meritorious service in public office | Statement: [Order of Leopold, hasEligibilityCriterion, meritorious service in public office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEligibilityCriterion
Context triple: [Order of Leopold, hasEligibilityCriterion, meritorious service in public office]
  • 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. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • C. 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.
  • D. hasCondition
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • E. qualifiesFrom
    Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2f5c0081908e548b314f5e986d completed Feb. 28, 2026, 3:17 a.m.
PD Predicate disambiguation batch_69a25b7c1448819082064f474633acd5 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.