Triple

T35905481
Position Surface form Disambiguated ID Type / Status
Subject Daic languages E1038459 entity
Predicate includesRegionalOfficialLanguageOf P112296 FINISHED
Object Guangxi Zhuang Autonomous Region E99799 NE 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: Guangxi Zhuang Autonomous Region | Statement: [Daic languages, includesRegionalOfficialLanguageOf, Guangxi Zhuang Autonomous Region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesRegionalOfficialLanguageOf
Context triple: [Daic languages, includesRegionalOfficialLanguageOf, Guangxi Zhuang Autonomous Region]
  • A. usesOfficialLanguageOf
    Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
  • B. hasOfficialLanguageOfLocation
    Indicates that a location has a specified language recognized as its official language.
  • C. hasOfficialCountryLanguage
    Indicates that a country recognizes a particular language as one of its official languages for governmental or legal purposes.
  • D. hasOfficialLanguageOfSurroundingCountry
    Indicates that an entity uses as its official language the same language that is official in the country surrounding it.
  • E. hasLanguageOfficial chosen
    Indicates that a language holds official status within a given entity, such as a country, region, or organization.
  • F. None of above.

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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6f1e65c81909d9e2b85fb553ece completed June 22, 2026, 4:15 a.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:07 p.m.