Triple

T37360291
Position Surface form Disambiguated ID Type / Status
Subject KNVB E927557 entity
Predicate grantsLicenseTo P12718 FINISHED
Object professional football clubs in the Netherlands 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 football clubs in the Netherlands | Statement: [KNVB, grantsLicenseTo, professional football clubs in the Netherlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantsLicenseTo
Context triple: [KNVB, grantsLicenseTo, professional football clubs in the Netherlands]
  • A. licenseFor chosen
    Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
  • B. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • C. grantsExistenceTo
    Indicates that one entity is responsible for bringing another entity into existence or causing it to come into being.
  • D. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • E. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • 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_69f76eb701788190b40824bc4594d985 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcf36d2894819089b7db8e91b63c9d completed May 7, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69fcf25c0a108190bfa823474098640b completed May 7, 2026, 8:13 p.m.
Created at: May 3, 2026, 4:16 p.m.