Triple

T7544159
Position Surface form Disambiguated ID Type / Status
Subject Ubangian E178353 entity
Predicate hasSubgroup P747 FINISHED
Object Ngbaka languages E266389 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: Ngbaka languages | Statement: [Ubangian, hasSubgroup, Ngbaka languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngbaka languages
Context triple: [Ubangian, hasSubgroup, Ngbaka languages]
  • A. Ngbaka language chosen
    The Ngbaka language is a Central Sudanic language spoken primarily in the Central African Republic and the Democratic Republic of the Congo by the Ngbaka people.
  • B. Ngemba languages
    The Ngemba languages are a group of closely related Bantoid languages spoken primarily in the Grassfields region of Cameroon.
  • C. Ubangian languages
    The Ubangian languages are a group of closely related languages spoken primarily in the Central African Republic and surrounding regions, often considered a branch of the Niger–Congo or an independent language family.
  • D. Teke–Mbede languages
    The Teke–Mbede languages are a group of closely related Bantu languages spoken primarily in Gabon and neighboring Central African countries.
  • E. Mbam–Nkam languages
    The Mbam–Nkam languages are a subgroup of the Grassfields branch of Bantu-related languages spoken in western Cameroon.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f896a27481908b2e120208f268e7 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.