Triple

T6215576
Position Surface form Disambiguated ID Type / Status
Subject Ewondo E138978 entity
Predicate subfamily P4180 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: [Ewondo, subfamily, Beti language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beti language
Context triple: [Ewondo, subfamily, 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. Belhare language
    The Belhare language is a Kiranti language of the Sino-Tibetan family spoken by the Belhare community in eastern Nepal.
  • C. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • D. Berta languages
    The Berta languages are a small group of closely related languages spoken primarily by the Berta people in the border regions of Sudan and Ethiopia, often classified within the proposed Nilo-Saharan language family.
  • E. Baigani language
    Baigani language is an indigenous Indo-Aryan language spoken by the Baiga people of central India, particularly in parts of Madhya Pradesh and Chhattisgarh.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dacf1788190a655c39bd248fde8 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.