Triple
T10601282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odesa Oblast |
E275751
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Port of Yuzhne |
E238567
|
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: Port of Yuzhne | Statement: [Odesa Oblast, hasMajorPort, Port of Yuzhne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Yuzhne Context triple: [Odesa Oblast, hasMajorPort, Port of Yuzhne]
-
A.
Port of Yuzhne
chosen
The Port of Yuzhne is one of Ukraine’s largest and deepest Black Sea seaports, serving as a major hub for bulk cargo and international maritime trade.
-
B.
Port of Zhdanov
Port of Zhdanov was the Soviet-era name for the Port of Mariupol, a major commercial seaport on the Sea of Azov in southeastern Ukraine.
-
C.
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.
-
D.
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.
-
E.
Port of Ust-Luga
The Port of Ust-Luga is a major Russian Baltic Sea deep-water seaport and cargo hub in Leningrad Oblast, serving as a key outlet for coal, oil products, and other bulk exports.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98840243081908de4f6905bbfa4a0 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 7:31 p.m.