Triple

T28394018
Position Surface form Disambiguated ID Type / Status
Subject South African telephone numbering plan E719233 entity
Predicate primaryLanguageOfRegulation P1252 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: [South African telephone numbering plan, primaryLanguageOfRegulation, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfRegulation
Context triple: [South African telephone numbering plan, primaryLanguageOfRegulation, English]
  • A. primaryLanguageRegulated
    Indicates that an authority or governing body sets rules or standards for the primary language used in a given context or domain.
  • B. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • C. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • D. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • E. standardLanguageBasisFor
    Indicates that one language serves as the normative or reference standard upon which another language variety, form, or usage is based.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_6a0031ed5d708190ab93516ad081ada6 completed May 10, 2026, 7:21 a.m.
PD Predicate disambiguation batch_6a0031b5dbd081908eb0f4dbb8a0eac3 completed May 10, 2026, 7:20 a.m.
Created at: April 28, 2026, 1:15 a.m.