Triple

T6840948
Position Surface form Disambiguated ID Type / Status
Subject Nordic Council Children and Young People’s Literature Prize E157570 entity
Predicate eligibleAudience P10804 FINISHED
Object children 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: children | Statement: [Nordic Council Children and Young People’s Literature Prize, eligibleAudience, children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleAudience
Context triple: [Nordic Council Children and Young People’s Literature Prize, eligibleAudience, children]
  • A. typicalAudience chosen
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • B. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • C. audienceAccess
    Indicates that one entity has permission or ability to access, view, or engage with a particular audience associated with another entity.
  • D. eligibleFrom
    Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
  • E. hasAudience
    Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.