Triple

T11578334
Position Surface form Disambiguated ID Type / Status
Subject Atlantic languages E274561 entity
Predicate majorLanguage P207 FINISHED
Object Balanta E151359 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: Balanta | Statement: [Atlantic languages, majorLanguage, Balanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balanta
Context triple: [Atlantic languages, majorLanguage, Balanta]
  • A. Balanta chosen
    The Balanta are a major West African ethnic group primarily found in Guinea-Bissau, known for their rice farming traditions, decentralized social organization, and rich musical and ritual culture.
  • B. Vidigal
    Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
  • C. Ndyuka
    The Ndyuka are a Maroon people of Suriname and French Guiana, descended from escaped African slaves and known for their distinct language, culture, and semi-autonomous communities in the rainforest interior.
  • D. Canacona
    Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
  • E. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.