Triple

T7492843
Position Surface form Disambiguated ID Type / Status
Subject Nyamwezi language E177048 entity
Predicate isMutuallyIntelligibleWith P7448 FINISHED
Object Sukuma language E181669 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: Sukuma language | Statement: [Nyamwezi language, isMutuallyIntelligibleWith, Sukuma language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukuma language
Context triple: [Nyamwezi language, isMutuallyIntelligibleWith, Sukuma language]
  • A. Sukuma language chosen
    The Sukuma language is a Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • B. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • C. Kamba language
    Kamba language is a Bantu language spoken primarily by the Kamba people of Kenya, known for its rich oral traditions and close linguistic ties to other Central Kenya Bantu languages.
  • D. Misima-Paneati language
    The Misima-Paneati language is an Oceanic language spoken in the Milne Bay Province of Papua New Guinea, primarily on Misima and nearby islands.
  • E. Kambaata language
    The Kambaata language is a Cushitic language of the Afroasiatic family spoken primarily by the Kambaata people in southern Ethiopia.
  • 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.