Triple
T19191260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Pacific Fleet |
E469842
|
entity |
| Predicate | hasBase |
P2909
|
FINISHED |
| Object | Vilyuchinsk |
—
|
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: Vilyuchinsk | Statement: [Russian Pacific Fleet, hasBase, Vilyuchinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilyuchinsk Context triple: [Russian Pacific Fleet, hasBase, Vilyuchinsk]
-
A.
Vilyuchinsk
chosen
Vilyuchinsk is a closed Russian naval town on the Kamchatka Peninsula, known primarily as a base for the Pacific Fleet’s nuclear submarines.
-
B.
Ust-Ilimsk
Ust-Ilimsk is a Siberian city in Russia known for its large hydroelectric power station on the Angara River and its role in the region’s timber and energy industries.
-
C.
Severobaikalsk
Severobaikalsk is a small town in northern Buryatia, Russia, located on the northern shore of Lake Baikal and serving as an important transport hub in eastern Siberia.
-
D.
Kudymkar
Kudymkar is a town in Perm Krai, Russia, known as the main urban center of the Komi-Permyak people and a local cultural and administrative hub.
-
E.
Yakutsk
Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a226dc8190a8a96960a4180298 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.