Triple

T7660801
Position Surface form Disambiguated ID Type / Status
Subject Pengo E173498 entity
Predicate closelyRelatedTo P37 FINISHED
Object Kui language E111784 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: Kui language | Statement: [Pengo, closelyRelatedTo, Kui language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kui language
Context triple: [Pengo, closelyRelatedTo, Kui language]
  • A. Kui language chosen
    The Kui language is a South-Central Dravidian language spoken primarily by tribal communities in eastern India, especially in the state of Odisha.
  • B. Gǀui language
    The Gǀui language is a Khoe-Kwadi (Khoe) language spoken by indigenous communities in parts of Botswana and Namibia, notable for its extensive use of click consonants.
  • C. Kuvi language
    Kuvi language is a South-Central Dravidian language spoken by the Kuvi people in parts of eastern India, particularly in Odisha and Andhra Pradesh.
  • D. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • E. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2206664819085c6825e63eadd6f completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 3:59 p.m.