Triple

T4583
Position Surface form Disambiguated ID Type / Status
Subject Turing Award E88 entity
Predicate awardingBodyType P303 FINISHED
Object professional association 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: professional association | Statement: [Turing Award, awardingBodyType, professional association]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardingBodyType
Context triple: [Turing Award, awardingBodyType, professional association]
  • A. typeOfInstitution chosen
    Indicates the specific kind or category of institution that an entity belongs to or is classified as.
  • B. issuedBy
    Indicates that something (such as a document, order, or statement) has been formally created, authorized, or released by a particular agent or authority.
  • C. administeredBy
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • D. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • E. organizationTypeOfPresenter
    Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23c24b3d08190a714126292fd5479 completed Feb. 28, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69a23998af288190855f0456740cbd51 completed Feb. 28, 2026, 12:40 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.