Triple

T12617653
Position Surface form Disambiguated ID Type / Status
Subject Winti E301294 entity
Predicate hasLanguageContext P8383 FINISHED
Object Sranan Tongo E4255 NE 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: Sranan Tongo | Statement: [Winti, hasLanguageContext, Sranan Tongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sranan Tongo
Context triple: [Winti, hasLanguageContext, Sranan Tongo]
  • A. Sranan Tongo chosen
    Sranan Tongo is an English- and Dutch-influenced creole language originating in Suriname, widely used as a lingua franca among its diverse ethnic communities.
  • B. Bislama
    Bislama is an English-based creole language widely spoken in Vanuatu and used as a key lingua franca across its many islands and communities.
  • C. Tok Pisin
    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.
  • D. Temne language
    Temne is a major Niger-Congo language spoken primarily by the Temne people of Sierra Leone, where it has significantly shaped the country’s linguistic and cultural landscape.
  • E. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:13 p.m.