Triple
T17278501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staraya Ladoga |
E419453
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Volkhov |
—
|
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: Volkhov | Statement: [Staraya Ladoga, nearbyCity, Volkhov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volkhov Context triple: [Staraya Ladoga, nearbyCity, Volkhov]
-
A.
Volkhov
chosen
Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
-
B.
Sviyazhsk
Sviyazhsk is a historic Russian island-town in Tatarstan, known for its 16th-century fortress and UNESCO-listed Orthodox monasteries at the confluence of the Volga and Sviyaga rivers.
-
C.
Tikhvin
Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
-
D.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
E.
Krasnoufimsk
Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
Created at: April 10, 2026, 5:40 a.m.