Triple
T12968061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyatka River |
E321320
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Kotelnich
Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
|
E1012909
|
NE FINISHED |
How this triple was built (4 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: Kotelnich | Statement: [Vyatka River, flowsThrough, Kotelnich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotelnich Context triple: [Vyatka River, flowsThrough, Kotelnich]
-
A.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
B.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
C.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
D.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
E.
Kocherinovo
Kocherinovo is a small town in southwestern Bulgaria known for its location near the Struma River and as part of the Kyustendil administrative region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kotelnich Triple: [Vyatka River, flowsThrough, Kotelnich]
Generated description
Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotelnich Target entity description: Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
-
A.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
B.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
C.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
D.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
E.
Kocherinovo
Kocherinovo is a small town in southwestern Bulgaria known for its location near the Struma River and as part of the Kyustendil administrative region.
- F. None of above. chosen
Provenance (5 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e4e1a48190b8f7253717746295 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9db8164819086a3a27692d681d5 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:32 p.m.