Triple

T11810355
Position Surface form Disambiguated ID Type / Status
Subject Koasati E280855 entity
Predicate language P15 FINISHED
Object Koasati language E307025 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: Koasati language | Statement: [Koasati, language, Koasati language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koasati language
Context triple: [Koasati, language, Koasati language]
  • A. Koasati language chosen
    The Koasati language is an endangered Native American language traditionally spoken by the Coushatta people of the southeastern United States.
  • B. Apatani language
    The Apatani language is a Tani (Tibeto-Burman) language spoken by the Apatani people of Arunachal Pradesh in northeastern India.
  • C. Kashaya Pomo language
    Kashaya Pomo is an indigenous Pomoan language of Northern California, traditionally spoken by the Kashaya Pomo people along the Sonoma Coast and known for its complex phonology and verb morphology.
  • D. Kumaoni language
    Kumaoni language is an Indo-Aryan language of the Central Pahari group spoken primarily in the Kumaon region of Uttarakhand, India.
  • E. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ca50a081908a198b336d8c2b98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13188b89c819095ba5d27de7ebbb2 completed April 28, 2026, 10:15 p.m.
Created at: April 8, 2026, 9:42 p.m.