Triple

T4467451
Position Surface form Disambiguated ID Type / Status
Subject Parliament TV (New Zealand) E98412 entity
Predicate contentRestrictions P10734 FINISHED
Object non-partisan coverage only 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: non-partisan coverage only | Statement: [Parliament TV (New Zealand), contentRestrictions, non-partisan coverage only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentRestrictions
Context triple: [Parliament TV (New Zealand), contentRestrictions, non-partisan coverage only]
  • A. contentLicenseAllows
    Indicates that a content license grants permission for a specified use or action involving the content.
  • B. censorshipReason
    Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
  • 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. contentLicense
    Indicates the type of license or usage rights that govern how the associated content may be used, shared, or redistributed.
  • E. notableRestriction chosen
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:34 p.m.