Triple

T28345
Position Surface form Disambiguated ID Type / Status
Subject Creative Commons E565 entity
Predicate develops P73 FINISHED
Object Creative Commons licenses E212 NE 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: Creative Commons licenses | Statement: [Creative Commons, develops, Creative Commons licenses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creative Commons licenses
Context triple: [Creative Commons, develops, Creative Commons licenses]
  • A. Creative Commons license chosen
    A Creative Commons license is a standardized public copyright license that allows creators to grant the public permission to share, use, and sometimes modify their work under specified conditions.
  • B. Creative Commons
    Creative Commons is a nonprofit organization that provides free, standardized copyright licenses to help creators legally share and reuse their work.
  • C. Commons
    Commons is the commonly used abbreviated name for the House of Commons, the lower house of the Parliament of the United Kingdom.
  • D. Open Knowledge Foundation
    Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
  • E. Open Educational Resources
    Open Educational Resources are freely accessible, openly licensed teaching and learning materials that can be used, adapted, and shared by educators and learners worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a248751fa88190992b6262a44b54f3 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2552eef10819094c0900499fb2d8f completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.