Triple

T36277192
Position Surface form Disambiguated ID Type / Status
Subject Kizh language E892839 entity
Predicate associatedPeopleAutonym P24023 FINISHED
Object Kizh E257286 NE FINISHED

How this triple was built (1 step)

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: Kizh | Statement: [Kizh language, associatedPeopleAutonym, Kizh]

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_69f76e488f34819083e254dbe288c27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a03809bd57c8190beb371feaf44a7db completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c3f50c4481909aef4c60f5be52a8 completed June 22, 2026, 11:23 p.m.
Created at: May 3, 2026, 4:09 p.m.