Triple

T3259625
Position Surface form Disambiguated ID Type / Status
Subject Accra E68377 entity
Predicate languageSpoken P151 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: [Accra, languageSpoken, Twi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twi
Context triple: [Accra, languageSpoken, 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed941cc81909c35853e793d6ce5 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.