Triple

T14594793
Position Surface form Disambiguated ID Type / Status
Subject Babur/Bura people E342529 entity
Predicate language P15 FINISHED
Object Bura language E788834 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: Bura language | Statement: [Babur/Bura people, language, Bura language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bura language
Context triple: [Babur/Bura people, language, Bura language]
  • A. Bura language chosen
    Bura language is a Chadic language spoken primarily in northeastern Nigeria by the Bura people.
  • B. Buru languages
    Buru languages are a small group of closely related Austronesian languages spoken primarily on Buru Island in Indonesia’s Maluku region.
  • C. Bura-Pabir language
    The Bura-Pabir language is a Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
  • D. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • E. Bunak language
    The Bunak language is a Papuan language spoken primarily in the central region of Timor, straddling the border between Indonesia and Timor-Leste.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43581348190b5362251c3a89654 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c81e608190848c290defcd84ac completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.