Triple

T37658750
Position Surface form Disambiguated ID Type / Status
Subject The Venice Project E937663 entity
Predicate contentLicensing P23417 FINISHED
Object licensed TV content from media companies 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 TV content from media companies | Statement: [The Venice Project, contentLicensing, licensed TV content from media companies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentLicensing
Context triple: [The Venice Project, contentLicensing, licensed TV content from media companies]
  • A. contentLicense chosen
    Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
  • B. contentLicenseAllows
    Indicates that a content license grants permission for a specified use or action involving the content.
  • C. contentLicenseRequires
    Indicates that the terms of a content’s license obligate certain conditions, actions, or permissions to be met or granted when using that content.
  • D. contentAccess
    Indicates that one entity is permitted to retrieve, view, or otherwise use the content provided or controlled by another entity.
  • E. coLicensedWith
    Indicates that two or more entities share a common license or are authorized under the same licensing agreement.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd0b92f42881908cd77e3f058adcc2 completed May 7, 2026, 10 p.m.
PD Predicate disambiguation batch_69fd0a3d68d4819094d92040f7c48d7c completed May 7, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:18 p.m.