Triple

T11721279
Position Surface form Disambiguated ID Type / Status
Subject Kitanemuk language E278635 entity
Predicate hasSubject P450 FINISHED
Object Kitanemuk grammar E278635 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: Kitanemuk grammar | Statement: [Kitanemuk language, hasSubject, Kitanemuk grammar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitanemuk grammar
Context triple: [Kitanemuk language, hasSubject, Kitanemuk grammar]
  • A. Kitanemuk language chosen
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • B. Kim language
    The Kim language is a Central Chadic (Afro-Asiatic) language spoken by the Kim people in parts of Chad.
  • C. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • D. Kayabí language
    The Kayabí language is an indigenous Tupian language spoken by the Kayabí people of Brazil, known for its role in preserving their cultural and linguistic heritage.
  • E. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:40 p.m.