Triple

T23359713
Position Surface form Disambiguated ID Type / Status
Subject Kumbewaha language E593150 entity
Predicate closelyRelatedTo P37 FINISHED
Object Laiyolo 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: Laiyolo language | Statement: [Kumbewaha language, closelyRelatedTo, Laiyolo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laiyolo language
Context triple: [Kumbewaha language, closelyRelatedTo, Laiyolo language]
  • A. Laiyolo language chosen
    The Laiyolo language is an Austronesian language spoken in South Sulawesi, Indonesia, and is part of the broader Celebic subgroup.
  • B. Adhola language
    Adhola is a Western Nilotic language spoken primarily by the Jopadhola people of eastern Uganda, closely related to other Luo languages such as Lango.
  • C. Lomwe language
    The Lomwe language is a Bantu language spoken primarily in Mozambique and Malawi, closely related to other Makhuwa varieties.
  • D. Lulubo language
    The Lulubo language is a Nilo-Saharan language spoken by the Lulubo people of South Sudan.
  • E. Khoe-Kwadi language
    Khoe-Kwadi is a proposed language family of southern Africa that groups together the Khoe (Khoikhoi and related) languages with the extinct Kwadi language of Angola.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1a39988190b4b4993b80d5a5f6 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:30 p.m.