Triple

T22178032
Position Surface form Disambiguated ID Type / Status
Subject Scientific Reports E548096 entity
Predicate hasOpenDataPolicy P10529 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: [Scientific Reports, hasOpenDataPolicy, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpenDataPolicy
Context triple: [Scientific Reports, hasOpenDataPolicy, yes]
  • A. dataPolicy chosen
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
  • B. hasPartOpenToPublic
    Indicates that some portion or component of an entity is accessible for use or visitation by the general public.
  • C. hasPublicationPolicy
    Indicates that an entity is associated with or governed by a specific policy regarding the creation, review, or dissemination of publications.
  • D. hasPolicySupport
    Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
  • E. hasPublicSpacePolicy
    Indicates that an entity has an established policy governing the use, management, or regulation of public spaces.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6dd5a081908035e81c068d8d5a completed April 28, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69e71b41555881909b8e22718974d527 completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:34 p.m.