Triple

T10179661
Position Surface form Disambiguated ID Type / Status
Subject CC0 E235951 entity
Predicate commercialUseAllowed P20683 FINISHED
Object yes 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: yes | Statement: [CC0, commercialUseAllowed, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commercialUseAllowed
Context triple: [CC0, commercialUseAllowed, yes]
  • A. isNonCommercial
    Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
  • B. commercialAccess chosen
    Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
  • C. eligibleUses
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • D. commercialProduct
    Indicates that one entity is a product or service offered for sale or commercial use by another entity.
  • E. commercialPolicy
    Indicates that there is a defined set of commercial terms, rules, or conditions governing transactions or business interactions between the related entities.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69cd7c79f21c8190a7f31b2eab80b8ba completed April 1, 2026, 8:13 p.m.
Created at: March 30, 2026, 9:11 p.m.