Triple

T4036166
Position Surface form Disambiguated ID Type / Status
Subject High People's Courts E83832 entity
Predicate mayUseLanguageOf P30223 FINISHED
Object local ethnic minorities in autonomous areas 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: local ethnic minorities in autonomous areas | Statement: [High People's Courts, mayUseLanguageOf, local ethnic minorities in autonomous areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayUseLanguageOf
Context triple: [High People's Courts, mayUseLanguageOf, local ethnic minorities in autonomous areas]
  • A. usesWorkingLanguagesOf
    Indicates that one entity employs or operates using the working languages associated with another entity.
  • B. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • C. languageUse
    Indicates the language or languages an entity uses for communication, expression, or interaction.
  • D. officialLanguageUse chosen
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • E. hasLanguageStatus
    Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.