Triple

T1734993
Position Surface form Disambiguated ID Type / Status
Subject Wikimedia Commons E37901 entity
Predicate contentLicensePolicy P10960 FINISHED
Object only freely licensed or public domain media 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: only freely licensed or public domain media | Statement: [Wikimedia Commons, contentLicensePolicy, only freely licensed or public domain media]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentLicensePolicy
Context triple: [Wikimedia Commons, contentLicensePolicy, only freely licensed or public domain media]
  • A. contentLicense
    Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
  • B. license
    Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
  • C. licensePreference chosen
    Indicates a party’s chosen or prioritized type of license to use, grant, or operate under in a given context.
  • D. 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.
  • E. copyrightStatus
    Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab5c553e508190b0f511b05e07fa20 completed March 6, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69aa61c25a648190892de94c997fb983 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.