Triple

T2672197
Position Surface form Disambiguated ID Type / Status
Subject Open Library E55771 entity
Predicate licenseOfData P8460 FINISHED
Object open license for most bibliographic data 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: open license for most bibliographic data | Statement: [Open Library, licenseOfData, open license for most bibliographic data]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licenseOfData
Context triple: [Open Library, licenseOfData, open license for most bibliographic data]
  • A. license
    Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
  • B. 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.
  • C. licenseStewardship
    Indicates that one entity is responsible for managing, overseeing, or administering a license on behalf of another entity.
  • D. licenseModel chosen
    Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
  • E. dataPolicy
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98f98908190b5c6fb38d3d4367a completed March 7, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69abd8190ad481908f3e14ac84d0940a completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.