Triple

T23165316
Position Surface form Disambiguated ID Type / Status
Subject Koti language E578696 entity
Predicate closelyRelatedTo P37 FINISHED
Object Makua language NE NERFINISHED

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: Makua language | Statement: [Koti language, closelyRelatedTo, Makua language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makua language
Context triple: [Koti language, closelyRelatedTo, Makua language]
  • A. Makua languages
    The Makua languages are a group of closely related Bantu languages spoken primarily in northern Mozambique and neighboring regions of southeastern Africa.
  • B. Makasae language
    The Makasae language is a Papuan language spoken primarily in the eastern part of Timor-Leste by the Makasae people.
  • C. Makhuwa-Enahara language chosen
    The Makhuwa-Enahara language is a Bantu language spoken primarily in northern Mozambique as one of the varieties of the broader Makhuwa language cluster.
  • D. Marakwet language
    The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
  • E. Makira languages
    The Makira languages are a group of closely related Oceanic languages spoken primarily on Makira (San Cristobal) and nearby islands in the Solomon Islands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2bca4881909f6148d588948018 completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.