Triple

T17522986
Position Surface form Disambiguated ID Type / Status
Subject Ket River E426720 entity
Predicate alsoKnownAs P39 FINISHED
Object Кеть 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: Кеть | Statement: [Ket River, alsoKnownAs, Кеть]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Кеть
Context triple: [Ket River, alsoKnownAs, Кеть]
  • A. Кеть chosen
    Кеть — река в Западной Сибири России, протекающая по Томской и Кемеровской областям и впадающая в Обь.
  • B. Keneggy
    Keneggy is a small settlement in Cornwall, England, situated within the rural civil parish of Breage.
  • C. Keston
    Keston is a historic village in the London Borough of Bromley, known for its rural character, commons, and proximity to the source of the River Ravensbourne.
  • D. Taffin
    Taffin is a 1988 Irish action thriller film starring Pierce Brosnan as a debt collector who clashes with corrupt developers in a small town.
  • E. Græme
    Græme is an archaic or variant spelling of the Scottish surname Graham, historically associated with Clan Graham.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.