Triple

T20729205
Position Surface form Disambiguated ID Type / Status
Subject Wemba Wemba language E509522 entity
Predicate alternativeName P39 FINISHED
Object Wamba Wamba 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: Wamba Wamba language | Statement: [Wemba Wemba language, alternativeName, Wamba Wamba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamba Wamba language
Context triple: [Wemba Wemba language, alternativeName, Wamba Wamba language]
  • A. Wemba Wemba language chosen
    The Wemba Wemba language is an Indigenous Australian Aboriginal language traditionally spoken by the Wamba Wamba people of southeastern Australia.
  • B. Wambule language
    The Wambule language is a Kiranti Sino-Tibetan language spoken by the Wambule (Wambule Rai) people of eastern Nepal.
  • C. Kambaata language
    The Kambaata language is a Cushitic language of the Afroasiatic family spoken primarily by the Kambaata people in southern Ethiopia.
  • D. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • E. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.