Triple

T2197643
Position Surface form Disambiguated ID Type / Status
Subject middle Don River E50412 entity
Predicate flowsThroughRegion P285 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: [middle Don River, flowsThroughRegion, Lipetsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipetsk Oblast
Context triple: [middle Don River, flowsThroughRegion, 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. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • E. Voronezh Oblast
    Voronezh Oblast is a federal subject of Russia in the country’s southwest, known for its administrative center Voronezh and its role as an important agricultural and industrial region.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65ef41040819092943009497c2000 completed March 15, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:46 p.m.