Triple

T15163522
Position Surface form Disambiguated ID Type / Status
Subject Great Basin linguistic area E362274 entity
Predicate hasLanguage P15 FINISHED
Object Washo language E75283 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: Washo language | Statement: [Great Basin linguistic area, hasLanguage, Washo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washo language
Context triple: [Great Basin linguistic area, hasLanguage, Washo language]
  • A. Washo language chosen
    The Washo language is a Native American language isolate traditionally spoken by the Washoe people of the Lake Tahoe region in California and Nevada.
  • B. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • C. Makhuwa-Enahara language
    The Makhuwa-Enahara language is a Bantu language spoken primarily in northern Mozambique as one of the varieties of the broader Makhuwa language cluster.
  • D. Warji language
    Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
  • E. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffc94e48190844e226c245a9ce3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.