Triple

T4826145
Position Surface form Disambiguated ID Type / Status
Subject Ryazan Oblast E107829 entity
Predicate borderedBy P224 FINISHED
Object Lipetsk Oblast E265202 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: Lipetsk Oblast | Statement: [Ryazan Oblast, borderedBy, Lipetsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipetsk Oblast
Context triple: [Ryazan Oblast, borderedBy, Lipetsk Oblast]
  • A. Lipetsk Oblast chosen
    Lipetsk Oblast is a federal subject of western Russia known for its industrial centers, agricultural production, and administrative capital, the city of Lipetsk.
  • 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. Saratov Oblast
    Saratov Oblast is a federal subject of Russia located in the southeastern part of European Russia, known for its industrial centers, agricultural production, and strategic position along the Volga River.
  • D. Tambov Oblast
    Tambov Oblast is a federal subject of central Russia known for its fertile agricultural lands and location along the middle reaches of the Don River.
  • E. Penza Oblast
    Penza Oblast is a federal subject of central Russia known for its agricultural economy, mixed forests, and role as a regional industrial and cultural center.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14ba9a9a8819086d7b5255b0af3e5 completed April 4, 2026, 5:34 p.m.
Created at: March 20, 2026, 1:24 p.m.