Triple

T22303088
Position Surface form Disambiguated ID Type / Status
Subject Sumatran languages E551304 entity
Predicate dominantLinguaFranca P24056 FINISHED
Object Indonesian 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: Indonesian | Statement: [Sumatran languages, dominantLinguaFranca, Indonesian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantLinguaFranca
Context triple: [Sumatran languages, dominantLinguaFranca, Indonesian]
  • A. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
  • B. dominantMediaLanguage
    Indicates that one language is the primary or most prevalent medium of communication used in a given media context or outlet.
  • C. languageFamilyDominant
    Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
  • D. isLinguaFrancaOf chosen
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • E. dominantDialect
    Indicates that one dialect is the primary or most influential form of a language within a particular context or region.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572517588190bef6f8bfb76afb19 completed April 29, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69e72ffa438481908f80879aef2a589b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:41 p.m.