Triple

T4322409
Position Surface form Disambiguated ID Type / Status
Subject Maiduan languages E96548 entity
Predicate neighboringLanguageFamily P16383 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: [Maiduan languages, neighboringLanguageFamily, Washo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washo language
Context triple: [Maiduan languages, neighboringLanguageFamily, 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. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • D. Kwaio language
    The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
  • E. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:12 p.m.