Triple

T37655808
Position Surface form Disambiguated ID Type / Status
Subject European Book Prize E937293 entity
Predicate hasAwardedWorkScope P85595 FINISHED
Object books published in the European Union 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: books published in the European Union | Statement: [European Book Prize, hasAwardedWorkScope, books published in the European Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAwardedWorkScope
Context triple: [European Book Prize, hasAwardedWorkScope, books published in the European Union]
  • A. hasAwardedWorkType
    Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
  • B. hasAwardedFieldOfWork
    Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
  • C. awardedForWorkOn
    Indicates that one entity grants an award or recognition to another entity specifically for that entity’s work on a particular project, task, or subject.
  • D. isAwardedWithin chosen
    Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
  • E. hasAwarderRole
    Indicates that an entity serves in the role or capacity of granting or conferring an award to another entity.
  • 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_69f76ed4fe908190b8061c5c135e0971 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaa1321b48190af92a3e7ec24ec5b completed May 6, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69fba8860f98819080b7bab05837b974 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.