Triple
T4182282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Petersburg Oblast |
E88221
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Volkhov |
E128726
|
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: Volkhov | Statement: [Saint Petersburg Oblast, contains, Volkhov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volkhov Context triple: [Saint Petersburg Oblast, contains, 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.
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.
-
C.
Volzhsky
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
-
D.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
E.
Severomorsk
Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0305e2e88190a51f176f8534f1f9 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5961845488190827b03e161f1235e |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:45 p.m.