Triple
T9204091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kacha River |
E220924
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Sevastopol Bay |
E366171
|
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: Sevastopol Bay | Statement: [Kacha River, hasMouthNear, Sevastopol Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevastopol Bay Context triple: [Kacha River, hasMouthNear, Sevastopol Bay]
-
A.
Sevastopol Bay
chosen
Sevastopol Bay is a strategic natural harbor on the Black Sea in Crimea, known for its naval history and role as the main base of the Russian Black Sea Fleet.
-
B.
Berdyansk Bay
Berdyansk Bay is a shallow bay of the Sea of Azov in southeastern Ukraine, known for its coastal resort areas and the port city of Berdyansk on its shores.
-
C.
Gelendzhik Bay
Gelendzhik Bay is a scenic Black Sea inlet on Russia’s Caucasian coast, known for its resort beaches and the seaside city of Gelendzhik along its shores.
-
D.
Tuapse Bay
Tuapse Bay is a coastal inlet on the northeastern shore of the Black Sea, serving as the maritime setting for the Russian port city of Tuapse.
-
E.
Nagaev Bay
Nagaev Bay is a coastal inlet of the Sea of Okhotsk in Russia’s Far East, serving as the main harbor area for the port city of Magadan.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd945f37881909f0d30eeb6a7a3ad |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c4e56208190a5b2749b81e467be |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:26 p.m.