Triple

T18535165
Position Surface form Disambiguated ID Type / Status
Subject Tsna River E452945 entity
Predicate hasCityOnBank P7935 FINISHED
Object Kotovsk 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: Kotovsk | Statement: [Tsna River, hasCityOnBank, Kotovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotovsk
Context triple: [Tsna River, hasCityOnBank, Kotovsk]
  • A. Kotovsk chosen
    Kotovsk is a small industrial city in central Russia, located within Tambov Oblast.
  • B. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • C. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • D. Kotelva
    Kotelva is a small urban settlement in central Ukraine known for its historical roots and location within the Poltava region.
  • E. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.