Triple

T11626455
Position Surface form Disambiguated ID Type / Status
Subject Noongar language E276282 entity
Predicate alternativeName P39 FINISHED
Object Nyunga E938370 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: Nyunga | Statement: [Noongar language, alternativeName, Nyunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyunga
Context triple: [Noongar language, alternativeName, Nyunga]
  • A. Nyanda
    Nyanda is the former name of Masvingo, a historic city in southeastern Zimbabwe known for its proximity to the Great Zimbabwe ruins.
  • B. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • C. Nyaturu
    Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • D. Nyungah chosen
    Nyungah is an alternative name for the Noongar Aboriginal people and their language from the south-west region of Western Australia.
  • E. Nyokum
    Nyokum is a major agricultural and religious festival of the Nyishi tribe in Arunachal Pradesh, India, celebrated to invoke prosperity, harmony, and good harvest.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82a205f08190b1c0e856fdeece11 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.