Triple

T14243629
Position Surface form Disambiguated ID Type / Status
Subject Makhuwa languages E353073 entity
Predicate hasMember P10 FINISHED
Object Koti language E578696 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: Koti language | Statement: [Makhuwa languages, hasMember, Koti language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koti language
Context triple: [Makhuwa languages, hasMember, Koti language]
  • A. Koti language chosen
    Koti language is a Bantu language spoken primarily along the coast of Mozambique, closely related to other Makua languages.
  • B. Kati language
    The Kati language is a Nuristani language spoken primarily in parts of northeastern Afghanistan and adjacent regions of Pakistan.
  • C. Kokota language
    The Kokota language is an Austronesian language spoken by the Kokota people of Santa Isabel Island in the Solomon Islands.
  • D. Kurti language
    Kurti is an Oceanic Austronesian language spoken in the Admiralty Islands of Papua New Guinea.
  • E. Pokot language
    The Pokot language is a Southern Nilotic language spoken by the Pokot people of Kenya and Uganda.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.