Triple

T340114
Position Surface form Disambiguated ID Type / Status
Subject Andreas Acrivos Dissertation Award in Fluid Dynamics E6815 entity
Predicate eligibleWork P12020 FINISHED
Object doctoral dissertation 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: doctoral dissertation | Statement: [Andreas Acrivos Dissertation Award in Fluid Dynamics, eligibleWork, doctoral dissertation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleWork
Context triple: [Andreas Acrivos Dissertation Award in Fluid Dynamics, eligibleWork, doctoral dissertation]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • B. associatedWork
    Indicates that there exists a related or connected work (such as a publication, creative piece, or project) that is meaningfully linked to the subject.
  • C. usedInWork
    Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
  • D. employedApproximately
    Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
  • E. laborProvision
    Indicates the provision or supply of labor or workforce from one party to another for work or services.
  • F. None of above. chosen

Provenance (4 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae4fcc08190bd4c2bf0149c8b50 completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95067e88190a914a1c1d0283dfc completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea0a4c448190a8a179daa9b90645 completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.