Triple

T7917871
Position Surface form Disambiguated ID Type / Status
Subject Ubangian languages E183872 entity
Predicate hasSubgroup P747 FINISHED
Object Mba languages E270023 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: Mba languages | Statement: [Ubangian languages, hasSubgroup, Mba languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mba languages
Context triple: [Ubangian languages, hasSubgroup, Mba languages]
  • A. Mba languages chosen
    Mba languages are a small group of closely related Adamawa–Ubangi (Niger–Congo) languages spoken primarily in the Central African Republic and neighboring regions.
  • B. Maban languages
    Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
  • C. Mambae language
    The Mambae language is an Austronesian language spoken primarily in East Timor, notable for its role in local identity and traditional culture.
  • D. Maba language
    The Maba language is an Austronesian language spoken in eastern Indonesia, particularly in the Halmahera region of North Maluku.
  • E. Maba language
    The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:05 p.m.