Triple

T26297100
Position Surface form Disambiguated ID Type / Status
Subject Adobe Digital Editions E661445 entity
Predicate hasDRMRestriction P17307 FINISHED
Object time-limited library loans 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: time-limited library loans | Statement: [Adobe Digital Editions, hasDRMRestriction, time-limited library loans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDRMRestriction
Context triple: [Adobe Digital Editions, hasDRMRestriction, time-limited library loans]
  • A. usesDRM chosen
    Indicates that one entity applies digital rights management (DRM) controls or technologies to another entity (such as content, software, or media).
  • B. hasMarketingRestrictions
    Indicates that there are specific limitations or conditions imposed on how something may be marketed or promoted.
  • C. hasHumanUseRestriction
    Indicates that there is a limitation or condition on how something may be used by humans.
  • D. hasExportRestriction
    Indicates that an entity is subject to limitations or controls on exporting it to other jurisdictions or parties.
  • E. hasDistributionRights
    Indicates that one entity is legally authorized to distribute another entity’s product, content, or service within specified terms or territories.
  • 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_69ee812cd48c81908054068f545f0526 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f61f12b0f08190bc4a16907941864c completed May 2, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69f61b3a8ae0819090189fbd8eb19f2f completed May 2, 2026, 3:41 p.m.
Created at: April 26, 2026, 10:13 p.m.