Triple
T14367658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sovetsko-Gavansky District |
E356276
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Sovetskaya Gavan |
E348039
|
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: Sovetskaya Gavan | Statement: [Sovetsko-Gavansky District, hasPort, Sovetskaya Gavan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sovetskaya Gavan Context triple: [Sovetsko-Gavansky District, hasPort, Sovetskaya Gavan]
-
A.
Sovetskaya Gavan
chosen
Sovetskaya Gavan is a port town on the Strait of Tartary in Russia’s Far East, serving as an important maritime and transport hub in Khabarovsk Krai.
-
B.
Alexeyevsk
Alexeyevsk is the former name of the Russian town now known as Belogorsk, located in Amur Oblast in the Russian Far East.
-
C.
Yalta Sea Port
Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
-
D.
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.
-
E.
Lomonosov seaport
Lomonosov seaport is a maritime port facility serving the town of Lomonosov near Saint Petersburg, Russia, handling regional cargo and passenger traffic in the Gulf of Finland.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648135188190af86b1b2be2fe0e0 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:15 a.m.