Triple

T1048887
Position Surface form Disambiguated ID Type / Status
Subject Flag of ASEAN E22647 entity
Predicate officialLanguageDescription P236 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: [Flag of ASEAN, officialLanguageDescription, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageDescription
Context triple: [Flag of ASEAN, officialLanguageDescription, English]
  • A. officialLanguage chosen
    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. officialLanguageScope
    Indicates the scope or extent (such as region, institution, or context) within which a language holds official status.
  • C. 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).
  • D. languageOfOfficialAnnouncements
    Indicates the language used for formal or official public announcements issued by an authority.
  • E. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b72e3e488190b768005ad647886b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.