Triple

T9499712
Position Surface form Disambiguated ID Type / Status
Subject Don Cossacks E229103 entity
Predicate historicalCenter P2536 FINISHED
Object Cherkassk E838228 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: Cherkassk | Statement: [Don Cossacks, historicalCenter, Cherkassk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherkassk
Context triple: [Don Cossacks, historicalCenter, Cherkassk]
  • A. Cherkassk chosen
    Cherkassk was a historic Cossack town that served as an early administrative and cultural center in the Don region of southern Russia.
  • B. Chernihiv
    Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
  • C. Kremenchuk
    Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
  • D. Gzhatsk
    Gzhatsk is the former name of the Russian town now known as Gagarin, historically serving as a local administrative center in Smolensk Oblast.
  • E. Vyshhorod
    Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983a94c48190a7ddf95a953c4ecc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2b58f7ea08190a96d88bafe9d4308 completed April 5, 2026, 7:18 p.m.
Created at: March 30, 2026, 7:56 p.m.