Triple

T26297034
Position Surface form Disambiguated ID Type / Status
Subject Kobo Nia E661444 entity
Predicate supportsEPUB P48616 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: [Kobo Nia, supportsEPUB, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsEPUB
Context triple: [Kobo Nia, supportsEPUB, yes]
  • A. supportsEP
    Indicates that one entity provides assistance, resources, or endorsement to another entity’s emergency preparedness (EP) efforts or program.
  • B. supportsChapters
    Indicates that one entity provides assistance, resources, or endorsement to help establish, maintain, or strengthen chapters of another entity.
  • C. calibre
    Indicates the quality, capability, or degree of excellence associated with an entity in relation to others.
  • D. supportedIn chosen
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. supportsType
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • 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_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: April 26, 2026, 10:13 p.m.