Triple

T3837819
Position Surface form Disambiguated ID Type / Status
Subject Ewondo language E91177 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Bulu language E87000 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: Bulu language | Statement: [Ewondo language, hasNeighboringLanguage, Bulu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulu language
Context triple: [Ewondo language, hasNeighboringLanguage, Bulu language]
  • A. Bulu language chosen
    The Bulu language is a Bantu language spoken primarily in southern Cameroon, closely associated with the Beti-Pahuin peoples and used historically in education and Christian missions.
  • B. Buli language
    Buli is an Austronesian language spoken on Halmahera Island in eastern Indonesia, known for its complex verbal morphology and membership in the South Halmahera–West New Guinea subgroup.
  • C. Buli language
    Buli is a Gur language spoken primarily in northern Ghana by the Builsa (Buli) people.
  • D. Yulu language
    The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
  • E. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9d11f081909fc51e84657ec7f1 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040835dc81909ecf5053128f1cc7 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.