Triple

T16617360
Position Surface form Disambiguated ID Type / Status
Subject Beti-Pahuin peoples E403728 entity
Predicate languageGroup P3349 FINISHED
Object Beti language E87001 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: Beti language | Statement: [Beti-Pahuin peoples, languageGroup, Beti language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beti language
Context triple: [Beti-Pahuin peoples, languageGroup, Beti language]
  • A. Beti languages chosen
    The Beti languages are a group of closely related Bantu languages spoken primarily in Cameroon, Equatorial Guinea, and neighboring regions of Central Africa.
  • B. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • C. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • D. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • E. Mangbetu language
    The Mangbetu language is a Central Sudanic language spoken by the Mangbetu people of northeastern Democratic Republic of the Congo.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007daef18481908c3628a3466300ce completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.