Triple

T31265743
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong residents E797248 entity
Predicate useOfficialLanguage P146790 FINISHED
Object Chinese 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: Chinese | Statement: [Hong Kong residents, useOfficialLanguage, Chinese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: useOfficialLanguage
Context triple: [Hong Kong residents, useOfficialLanguage, Chinese]
  • A. usesOfficialLanguageOf chosen
    Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
  • B. 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.
  • C. officialLanguageUse
    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.
  • D. shareOfficialLanguage
    Indicates that two entities have at least one official language in common.
  • 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_69f224de2bbc819081af6c32e1d857b9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:12 p.m.