Triple

T4970145
Position Surface form Disambiguated ID Type / Status
Subject Kaluga Oblast E111628 entity
Predicate bordersWith P224 FINISHED
Object Oryol Oblast E238415 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: Oryol Oblast | Statement: [Kaluga Oblast, bordersWith, Oryol Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oryol Oblast
Context triple: [Kaluga Oblast, bordersWith, Oryol Oblast]
  • A. Oryol Oblast chosen
    Oryol Oblast is a federal subject of western Russia known for its historic role as a major World War II battleground and its agricultural and industrial economy centered around the city of Oryol.
  • B. Ryazan Oblast
    Ryazan Oblast is a federal subject of central Russia known for its historic cities, agricultural landscapes, and location along the Oka River southeast of Moscow.
  • C. Oryol Governorate
    Oryol Governorate was an administrative division of the Russian Empire and early Russian SFSR centered on the city of Oryol, historically located in western Russia.
  • D. Bryansk Oblast
    Bryansk Oblast is a federal subject of western Russia bordering Belarus and Ukraine, known for its mixed forests, agricultural lands, and historical role as a partisan center during World War II.
  • E. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd721221b88190916feb9b4f049195 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23c6f38ac8190a652575b8dc2fd45 completed April 5, 2026, 10:41 a.m.
Created at: March 20, 2026, 1:33 p.m.