Triple

T10902585
Position Surface form Disambiguated ID Type / Status
Subject Pro Player E257482 entity
Predicate licensingActivity P70564 FINISHED
Object licensed team-branded apparel 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: licensed team-branded apparel | Statement: [Pro Player, licensingActivity, licensed team-branded apparel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licensingActivity
Context triple: [Pro Player, licensingActivity, licensed team-branded apparel]
  • A. licensingComponent
    Indicates that one entity serves as a licensing-related component or module within the context or operation of another entity.
  • B. hasLicensing chosen
    Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
  • C. licensingRestriction
    Indicates that there is a constraint or condition imposed on the use, distribution, or modification of something under a specific license.
  • D. licenseStatus
    Indicates the current state or condition of a license in relation to its validity, permissions, or compliance.
  • E. licenseFor
    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.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a4e9d48190b107839761a2152b completed April 9, 2026, 8:21 a.m.
PD Predicate disambiguation batch_69d70d3d69e08190bb369e9a7927142c completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:22 p.m.