Triple

T2662913
Position Surface form Disambiguated ID Type / Status
Subject Benue–Congo languages E54765 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Kikuyu language E267661 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: Kikuyu language | Statement: [Benue–Congo languages, hasNotableLanguage, Kikuyu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kikuyu language
Context triple: [Benue–Congo languages, hasNotableLanguage, Kikuyu language]
  • A. Kikuyu language chosen
    Kikuyu language is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
  • B. Kaurna language
    The Kaurna language is the traditional Indigenous Australian language of the Kaurna people of the Adelaide Plains in South Australia, currently undergoing revitalization after near extinction.
  • C. Waigali language
    The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
  • D. Kaimbulawa language
    The Kaimbulawa language is an Austronesian language spoken in Southeast Sulawesi, Indonesia, as part of the Muna–Buton subgroup.
  • E. Wiradjuri language
    The Wiradjuri language is an Indigenous Australian language traditionally spoken by the Wiradjuri people of central New South Wales and now the focus of active revitalization efforts.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.