Triple
T19806933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirov Oblast |
E475836
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kotelnich |
—
|
NE NERFINISHED |
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: Kotelnich | Statement: [Kirov Oblast, hasCity, Kotelnich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotelnich Context triple: [Kirov Oblast, hasCity, Kotelnich]
-
A.
Kotelnich
chosen
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.
-
B.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
C.
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.
-
D.
Krasnobród
Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
-
E.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.