Triple

T16169553
Position Surface form Disambiguated ID Type / Status
Subject Central Cameroon E392397 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Bassa E132328 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: Bassa | Statement: [Central Cameroon, hasEthnicGroup, Bassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassa
Context triple: [Central Cameroon, hasEthnicGroup, Bassa]
  • A. Bassa chosen
    Bassa is a Bantu language spoken primarily by the Bassa people of Cameroon and neighboring regions.
  • B. Bassa
    The Bassa are an ethnic group in Nigeria known for their distinct language and cultural traditions, with communities found in states such as Kogi.
  • C. Bassa Vah
    Bassa Vah is an indigenous script used to write the Bassa language of Liberia, notable for its unique alphabetic characters and tonal marking system.
  • D. Bilwi
    Bilwi is a coastal city and the capital of Nicaragua’s North Caribbean Coast Autonomous Region, known for its Miskito culture and vulnerability to Atlantic hurricanes.
  • E. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.