Triple
T2167205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don |
E46936
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Don, flowsThrough, Lipetsk Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipetsk Oblast Context triple: [Don, flowsThrough, 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeac9d688190bfa68715e173771e |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4aa62888190a5ef7a617b5ace8d |
completed | March 14, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:45 p.m.