Triple
T6089046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RUVNN |
E135713
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Vanino seaport |
E25214
|
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: Vanino seaport | Statement: [RUVNN, represents, Vanino seaport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanino seaport Context triple: [RUVNN, represents, Vanino seaport]
-
A.
Vanino
chosen
Vanino is a key port town in Russia’s Far East that serves as an important hub for maritime trade and transport in the region.
-
B.
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.
-
C.
Sovetskaya Gavan
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.
-
D.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
-
E.
Port of Taman
The Port of Taman is a major Russian seaport on the Black Sea coast, serving as a key hub for bulk cargo and energy exports from the Taman Peninsula.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d65908c8190a9700c0981dabe9a |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:12 p.m.