Triple

T10247919
Position Surface form Disambiguated ID Type / Status
Subject Teke languages E240265 entity
Predicate hasMember P10 FINISHED
Object Teke-Fuumu language E853704 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: Teke-Fuumu language | Statement: [Teke languages, hasMember, Teke-Fuumu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teke-Fuumu language
Context triple: [Teke languages, hasMember, Teke-Fuumu language]
  • A. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • B. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • C. Amuesha language
    The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
  • D. Teke-Eboo languages chosen
    The Teke-Eboo languages are a subgroup of Bantu languages spoken primarily by Teke-related communities in Central Africa, especially in the Republic of the Congo and surrounding regions.
  • E. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb371a408190924ccb5c51c209b7 completed April 9, 2026, 7:17 p.m.
Created at: April 6, 2026, 11:27 a.m.