Triple

T22300104
Position Surface form Disambiguated ID Type / Status
Subject The Treasures of the British Museum E551230 entity
Predicate placeCoverage P147974 FINISHED
Object multiple world regions 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: multiple world regions | Statement: [The Treasures of the British Museum, placeCoverage, multiple world regions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeCoverage
Context triple: [The Treasures of the British Museum, placeCoverage, multiple world regions]
  • A. providesCoverage
    Indicates that one entity supplies protection, insurance, or service coverage to another entity or for a specified risk or scope.
  • B. workCoverage
    Indicates that one entity’s work or responsibilities extend to, include, or provide coverage for another entity, area, or time period.
  • C. typeOfCoverage
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • D. typicallyCovers
    Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
  • E. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • F. None of above. chosen

Provenance (4 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572399148190853c4e91fcf9f38c completed April 29, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69e72ffa438481908f80879aef2a589b completed April 21, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e75dc7b08081909d64441e979c2fa4 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 8:41 p.m.