Triple

T8170010
Position Surface form Disambiguated ID Type / Status
Subject Bantu W languages E190791 entity
Predicate hasMember P10 FINISHED
Object Chokwe language E645374 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: Chokwe language | Statement: [Bantu W languages, hasMember, Chokwe language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chokwe language
Context triple: [Bantu W languages, hasMember, Chokwe language]
  • A. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • B. Chiwere language
    The Chiwere language is a nearly extinct Siouan language historically spoken by the Otoe-Missouria and Iowa (Ioway) tribes of the central United States.
  • C. Kalanga language chosen
    The Kalanga language is a Bantu language spoken primarily by the Kalanga people in parts of Botswana and southwestern Zimbabwe.
  • D. Chambeali language
    Chambeali is an Indo-Aryan language spoken in the Chamba region of Himachal Pradesh in northern India.
  • E. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf542c388190b99fe4f0c6b7b946 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.