Triple
T3335737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gözleve |
E70135
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Eupatoria port |
E13403
|
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: Eupatoria port | Statement: [Gözleve, hasPort, Eupatoria port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eupatoria port Context triple: [Gözleve, hasPort, Eupatoria port]
-
A.
Eupatoria
chosen
Eupatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic muds, and diverse cultural heritage.
-
B.
Port of Kherson
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 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.
-
D.
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.
-
E.
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.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb197bd0481909a5cf7eab386e176 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bb819688190bb6198ac43f48449 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:12 p.m.