Triple

T16767963
Position Surface form Disambiguated ID Type / Status
Subject Defaka language E407517 entity
Predicate isContactLanguageWith P95982 FINISHED
Object Nkoroo language 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: Nkoroo language | Statement: [Defaka language, isContactLanguageWith, Nkoroo language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isContactLanguageWith
Context triple: [Defaka language, isContactLanguageWith, Nkoroo language]
  • A. hasContactWithLanguage chosen
    Indicates that an entity has some form of interaction, exposure, or engagement with a particular language.
  • B. usedAsContactLanguageBetween
    Indicates that a language functions as the medium of communication between two or more distinct language communities.
  • C. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • D. 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).
  • E. isWorkingLanguageOf
    Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:21 a.m.