Triple

T13377022
Position Surface form Disambiguated ID Type / Status
Subject Northern Paiute E319213 entity
Predicate hasAutonym P1435 FINISHED
Object Nüümü E1037857 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: Nüümü | Statement: [Northern Paiute, hasAutonym, Nüümü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nüümü
Context triple: [Northern Paiute, hasAutonym, Nüümü]
  • A. Nüümü chosen
    Nüümü is the self-designation of the Owens Valley Paiute people, an Indigenous group native to the Owens Valley region of eastern California.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nuuro
    Nuuro is the electronic pop music project of Venezuelan producer and songwriter Alejandro Ghersi, who later became widely known under the name Arca.
  • D. Neltume
    Neltume is a small town in southern Chile known for its proximity to lakes, forests, and ecotourism activities in the Andes.
  • E. Nimruz
    Nimruz is a city in southwestern Afghanistan that serves as the capital of Nimruz Province and an important regional center near the borders with Iran and Pakistan.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.