Triple

T7492941
Position Surface form Disambiguated ID Type / Status
Subject Ha language E177051 entity
Predicate languageSubgroup P1967 FINISHED
Object Bantoid E264179 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: Bantoid | Statement: [Ha language, languageSubgroup, Bantoid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bantoid
Context triple: [Ha language, languageSubgroup, 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. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • C. Bandayo Poboide
    Bandayo Poboide is the traditional ceremonial house of the Gorontalo people in Indonesia, serving as a central venue for cultural gatherings and customary events.
  • D. Chauchoin
    Chauchoin is the original French family surname of Hollywood actress Claudette Colbert.
  • E. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5784c908190b701959daf082625 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c7c60b8819090f2c4b16332c557 completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.