Triple

T4909690
Position Surface form Disambiguated ID Type / Status
Subject Bao’an E110200 entity
Predicate historicalLanguageGroups P22184 FINISHED
Object Cantonese-speaking communities 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: Cantonese-speaking communities | Statement: [Bao’an, historicalLanguageGroups, Cantonese-speaking communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLanguageGroups
Context triple: [Bao’an, historicalLanguageGroups, Cantonese-speaking communities]
  • A. historicalLanguageGroup chosen
    Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
  • B. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • C. historicalLanguageOfHierarchy
    Indicates that a language served as the traditional or historically established language used by a particular hierarchy or hierarchical institution.
  • D. historicalLanguageRegion
    Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
  • E. historicalLanguageCenter
    Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69bd6c325e188190823836d79934e9bc completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:29 p.m.