Triple

T15153113
Position Surface form Disambiguated ID Type / Status
Subject Chernigov land E362000 entity
Predicate coreCity P235 FINISHED
Object Chernihiv E149955 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: Chernihiv | Statement: [Chernigov land, coreCity, Chernihiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chernihiv
Context triple: [Chernigov land, coreCity, Chernihiv]
  • A. Chernihiv chosen
    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.
  • B. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • C. Nizhyn
    Nizhyn is a historic city in northern Ukraine known for its cultural heritage, educational institutions, and well-preserved architecture.
  • D. Zhytomyr
    Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
  • E. Hlukhiv
    Hlukhiv is a historic city in northern Ukraine that served as an important political and cultural center of the Cossack Hetmanate in the 18th century.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b25a808190b56f8ab3c506b771 completed May 9, 2026, 3:45 p.m.
Created at: April 10, 2026, 3:08 a.m.