Triple

T6640174
Position Surface form Disambiguated ID Type / Status
Subject Grassfields languages E150566 entity
Predicate hasSubgroup P747 FINISHED
Object Bamileke languages E541208 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: Bamileke languages | Statement: [Grassfields languages, hasSubgroup, Bamileke languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamileke languages
Context triple: [Grassfields languages, hasSubgroup, Bamileke languages]
  • A. Bamileke languages chosen
    The Bamileke languages are a group of closely related Grassfields Bantu languages spoken primarily by the Bamileke people in western Cameroon.
  • B. Teke–Mbede languages
    The Teke–Mbede languages are a group of closely related Bantu languages spoken primarily in Gabon and neighboring Central African countries.
  • C. Bena–Mboi languages
    The Bena–Mboi languages are a small group of closely related Niger–Congo languages spoken primarily in northeastern Nigeria.
  • D. Songhay languages
    The Songhay languages are a group of closely related Nilo-Saharan languages spoken primarily along the Niger River in Mali, Niger, and neighboring West African countries.
  • E. Bongo–Bagirmi languages
    The Bongo–Bagirmi languages are a subgroup of Central Sudanic languages spoken primarily in South Sudan, Chad, and the Central African Republic.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff1fe8081908c32db341b0fb354 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e455edb88190983f74f39e55665c completed March 27, 2026, 8:11 p.m.
Created at: March 27, 2026, 2 p.m.