Triple

T7314659
Position Surface form Disambiguated ID Type / Status
Subject Buin people E168377 entity
Predicate modernLanguageUse P72909 FINISHED
Object Tok Pisin E49351 NE FINISHED

How this triple was built (3 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: Tok Pisin | Statement: [Buin people, modernLanguageUse, Tok Pisin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tok Pisin
Context triple: [Buin people, modernLanguageUse, Tok Pisin]
  • A. Tok Pisin chosen
    Tok Pisin is an English-based creole language widely spoken in Papua New Guinea, where it serves as a major lingua franca and one of the country’s primary official languages.
  • B. Solomon Islands Pijin
    Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
  • C. Nauruan
    Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
  • D. Melanesian Pidgin
    Melanesian Pidgin is an English-based creole language widely used as a lingua franca in parts of Melanesia, particularly Papua New Guinea.
  • E. Tokelauan
    Tokelauan refers to the Polynesian people indigenous to Tokelau and their associated language and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modernLanguageUse
Context triple: [Buin people, modernLanguageUse, Tok Pisin]
  • A. modernUse
    Indicates how something is currently used or applied in modern times.
  • B. typicalLanguageUse chosen
    Indicates that one entity is the language most commonly or habitually used by another entity in ordinary communication or contexts.
  • C. linguisticUsage
    Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
  • D. modernLanguageDescendant
    Indicates that one language is a direct or indirect descendant of another language in the modern era.
  • E. contemporaryUse
    Indicates that something is currently used or practiced in the present time or modern context.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ec03a7248190beb1dec612725e5b completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeedea88190a17cf6b83abc10d8 completed March 28, 2026, 3:08 p.m.
PD Predicate disambiguation batch_69c6e7705f4881909793071dee50c557 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3:02 p.m.