Triple
T5105578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kherson Oblast |
E115083
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Kherson Sea Port |
E244367
|
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: Kherson Sea Port | Statement: [Kherson Oblast, hasPort, Kherson Sea Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kherson Sea Port Context triple: [Kherson Oblast, hasPort, Kherson Sea Port]
-
A.
Port of Berdyansk
The Port of Berdyansk is a key commercial seaport on the northern coast of the Sea of Azov, serving as an important maritime gateway for regional trade and industry.
-
B.
Port of Kherson
chosen
The Port of Kherson is a key river and sea transport hub on the Dnieper River near the Black Sea, serving as an important center for cargo handling and regional trade in southern Ukraine.
-
C.
Port of Chornomorsk
The Port of Chornomorsk is a major Ukrainian Black Sea seaport and transport hub near Odesa, handling significant cargo and passenger traffic.
-
D.
Port of Mariupol
The Port of Mariupol is a key commercial seaport on the Sea of Azov that has historically served as a major hub for Ukraine’s maritime trade and industry.
-
E.
Kyiv River Port
Kyiv River Port is a major inland port and transport hub on the Dnipro River serving passenger and cargo traffic for the city of Kyiv, Ukraine.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba95dbd48190a7d87f3af77424e0 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.