Triple
T1575130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yalta Bay |
E33631
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Yalta |
E33129
|
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 Yalta | Statement: [Yalta Bay, hasPort, Port of Yalta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Yalta Context triple: [Yalta Bay, hasPort, Port of Yalta]
-
A.
Yalta Sea Port
chosen
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.
-
B.
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.
-
C.
Severo-Kurilsk Port
Severo-Kurilsk Port is a remote Russian seaport on the Kuril Islands that serves as a key hub for local fishing, transport, and supply in the North Pacific.
-
D.
Simferopol–Alushta
Simferopol–Alushta is the central mountain-crossing section of the Crimean trolleybus route that links the regional capital Simferopol with the Black Sea resort town of Alushta.
-
E.
Bakhchisarai
Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d2cffc819090f3d5cbebae3307 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad797d8c68819093fb2bcae0a08698 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:27 p.m.