Triple

T12306172
Position Surface form Disambiguated ID Type / Status
Subject IBF light welterweight title E293357 entity
Predicate requiresProfessionalLicense P96723 FINISHED
Object true 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: true | Statement: [IBF light welterweight title, requiresProfessionalLicense, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresProfessionalLicense
Context triple: [IBF light welterweight title, requiresProfessionalLicense, true]
  • A. hasProfessionalRequirement chosen
    Indicates that one entity imposes or specifies a professional qualification, credential, or condition that must be met by another entity.
  • B. grantsProfessionalLicenseEligibility
    Indicates that one entity confers eligibility upon another entity to obtain a professional license.
  • C. requiresPremiumFor
    Indicates that access to or use of something is conditional on having a premium status, subscription, or account.
  • D. requiresLicenseOf
    Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
  • E. requiresLicenseFrom
    Indicates that one entity must obtain formal permission or authorization from another entity before performing a specific activity or operation.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.