Triple

T36965
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom E732 entity
Predicate deFactoOfficialLanguage P237 FINISHED
Object English 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: English | Statement: [United Kingdom, deFactoOfficialLanguage, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deFactoOfficialLanguage
Context triple: [United Kingdom, deFactoOfficialLanguage, English]
  • A. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • B. deFactoLanguage chosen
    Indicates that a language is used in practice as the primary or common language in a context, even if it has no official legal status there.
  • C. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • D. isWidelySpokenIn
    Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
  • E. hasOfficialLanguagePolicy
    Indicates that there exists a formally adopted rule or set of rules governing the use, status, or regulation of one or more languages within a given context or jurisdiction.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24bb753f081909cd8b25cfb8e08af completed Feb. 28, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69a24ab4a6908190b6f355415ffe7948 completed Feb. 28, 2026, 1:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.