Triple

T2533976
Position Surface form Disambiguated ID Type / Status
Subject Atlantic–Congo languages E56225 entity
Predicate includesLanguage P2177 FINISHED
Object Twi E155064 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: Twi | Statement: [Atlantic–Congo languages, includesLanguage, Twi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twi
Context triple: [Atlantic–Congo languages, includesLanguage, Twi]
  • A. Twi chosen
    Twi is a major Akan language spoken primarily in Ghana, known for its significant cultural influence and role in the West African diaspora.
  • B. Kwéyòl
    Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • C. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • D. Twa
    The Twa are an indigenous pygmy people of Central Africa, traditionally forest-dwelling hunter-gatherers and one of the region’s oldest ethnic groups.
  • E. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27afe7c8190984e10d3f3d5586b completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbc416c81908774782420b54664 completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:47 p.m.