Triple

T18478829
Position Surface form Disambiguated ID Type / Status
Subject Tewa language E451503 entity
Predicate closelyRelatedTo P37 FINISHED
Object Towa language NE NERFINISHED

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: Towa language | Statement: [Tewa language, closelyRelatedTo, Towa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Towa language
Context triple: [Tewa language, closelyRelatedTo, Towa language]
  • A. Towa language chosen
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • B. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • C. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • D. Sayawa language
    The Sayawa language is a Chadic language spoken primarily by the Sayawa people in Bauchi State, northeastern Nigeria.
  • E. Temori language
    The Temori language is an indigenous Uto-Aztecan language historically spoken by a small community in northern Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53065e8388190bb216dae89f8cf75 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:35 a.m.