Triple

T12409148
Position Surface form Disambiguated ID Type / Status
Subject Northwest Bantu E296467 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Fang language E14619 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: Fang language | Statement: [Northwest Bantu, hasMemberLanguage, Fang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang language
Context triple: [Northwest Bantu, hasMemberLanguage, Fang language]
  • A. Fang language chosen
    Fang is a Bantu language spoken primarily by the Fang people of Equatorial Guinea, Gabon, and Cameroon, notable for its significant influence on local varieties of Spanish and French.
  • B. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • C. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • D. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • E. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d4b86c88190afba0de15b34eee9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348af5a8819083a075d145b15fd4 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.