Triple

T21053631
Position Surface form Disambiguated ID Type / Status
Subject Ruvu languages E518651 entity
Predicate hasSubfamily P747 FINISHED
Object Bantoid NE NERFINISHED

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: Bantoid | Statement: [Ruvu languages, hasSubfamily, Bantoid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantoid
Context triple: [Ruvu languages, hasSubfamily, Bantoid]
  • A. Bantoid chosen
    Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
  • B. Boidobra
    Boidobra is a civil parish located in the municipality of Covilhã in central Portugal.
  • C. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • D. Bant
    Bant is a small village in the Dutch province of Flevoland, located in the reclaimed polder region of the Netherlands.
  • E. Boaru
    Boaru is a Romanian surname most notably associated with former professional footballer Claudiu Boaru.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.