Triple

T944490
Position Surface form Disambiguated ID Type / Status
Subject Booker Prize E20381 entity
Predicate publicationRegionRequirement P5596 FINISHED
Object published in the United Kingdom or Ireland 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: published in the United Kingdom or Ireland | Statement: [Booker Prize, publicationRegionRequirement, published in the United Kingdom or Ireland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicationRegionRequirement
Context triple: [Booker Prize, publicationRegionRequirement, published in the United Kingdom or Ireland]
  • A. landingRegion
    Indicates the area or zone where an object or entity comes to rest or makes contact after moving or descending.
  • B. countryRegion
    Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
  • C. countryOrRegion
    Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
  • D. marketRegion
    Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
  • E. regionSpecificContent chosen
    Indicates that certain content is tailored, restricted, or applicable only to a particular geographic region or set of regions.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a3ed3881908386af140477c514 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29dc8dc8190b9d33f70f8563d61 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.