Triple

T12238114
Position Surface form Disambiguated ID Type / Status
Subject Kai Islands E291653 entity
Predicate language P15 FINISHED
Object Kei language E648909 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: Kei language | Statement: [Kai Islands, language, Kei language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kei language
Context triple: [Kai Islands, language, Kei language]
  • A. Kei language chosen
    Kei language is an Austronesian language spoken primarily on the Kei (Kai) Islands in southeastern Maluku, Indonesia.
  • B. Keiyo language
    The Keiyo language is a Southern Nilotic language spoken by the Keiyo people of Kenya’s Rift Valley, closely associated with and linguistically similar to other Kalenjin languages such as Kipsigis.
  • C. Teke-Kega language
    The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
  • D. Kiga language
    The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
  • E. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab3ae2481908f65d8ac61a6b2e4 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.