Triple
T2530282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oka River |
E56140
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Oryol |
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 | Statement: [Oka River, hasCityOnBank, Oryol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oryol Context triple: [Oka River, hasCityOnBank, Oryol]
-
A.
Belgorod
Belgorod is a city in western Russia near the Ukrainian border, historically significant as a strategic site of major World War II battles and offensives.
-
B.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
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.
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.
-
E.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3544e32a0819087d554982f443b1d |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 6, 2026, 9:46 p.m.