Triple
T19266374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spassk-Ryazansky |
E481790
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Spassky District, Ryazan Oblast |
—
|
NE NERFINISHED |
How this triple was built (3 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: Spassky District, Ryazan Oblast | Statement: [Spassk-Ryazansky, partOf, Spassky District, Ryazan Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spassky District, Ryazan Oblast Context triple: [Spassk-Ryazansky, partOf, Spassky District, Ryazan Oblast]
-
A.
Ryazhsky District
Ryazhsky District is an administrative district (raion) in Ryazan Oblast, Russia, centered on the town of Ryazhsk and serving as a local governmental and municipal unit.
-
B.
Rzhevsky District
Rzhevsky District is an administrative district (raion) in Tver Oblast, Russia, located in the western part of the region and centered around the historic town of Rzhev.
-
C.
Krasnaya Presnya district
Krasnaya Presnya district is a historic central district of Moscow known for its revolutionary heritage, industrial past, and significant cultural and political landmarks.
-
D.
Mozhaysky District
Mozhaysky District is an administrative district in Moscow Oblast, Russia, known for its historical town of Mozhaysk and its role in supplying water and recreation areas to the region.
-
E.
Mozhaysky District
Mozhaysky District is a municipal district of Moscow located within the city’s Western Administrative Okrug.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spassky District, Ryazan Oblast Target entity description: Spassky District, Ryazan Oblast is an administrative and municipal district in Ryazan Oblast, Russia, with the town of Spassk-Ryazansky serving as its administrative center.
-
A.
Ryazhsky District
Ryazhsky District is an administrative district (raion) in Ryazan Oblast, Russia, centered on the town of Ryazhsk and serving as a local governmental and municipal unit.
-
B.
Rzhevsky District
Rzhevsky District is an administrative district (raion) in Tver Oblast, Russia, located in the western part of the region and centered around the historic town of Rzhev.
-
C.
Krasnaya Presnya district
Krasnaya Presnya district is a historic central district of Moscow known for its revolutionary heritage, industrial past, and significant cultural and political landmarks.
-
D.
Mozhaysky District
Mozhaysky District is an administrative district in Moscow Oblast, Russia, known for its historical town of Mozhaysk and its role in supplying water and recreation areas to the region.
-
E.
Mozhaysky District
Mozhaysky District is a municipal district of Moscow located within the city’s Western Administrative Okrug.
- F. None of above. chosen
Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8d58988190a942627b1fb79285 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:29 p.m.