Triple
T8477287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primorsky Boulevard |
E200426
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Odesa seaport |
E724098
|
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: Odesa seaport | Statement: [Primorsky Boulevard, hasView, Odesa seaport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odesa seaport Context triple: [Primorsky Boulevard, hasView, Odesa seaport]
-
A.
Odesa harbor
chosen
Odesa harbor is a major Black Sea port of Ukraine, serving as a key hub for maritime trade, passenger traffic, and naval activity for the city of Odesa.
-
B.
Mykolaiv Sea Port
Mykolaiv Sea Port is a major Ukrainian maritime cargo hub on the Southern Bug River, serving as a key center for grain and industrial exports.
-
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.
Skadovsk Port
Skadovsk Port is a Ukrainian seaport on the Black Sea that serves as a regional maritime hub for cargo and passenger transport in Kherson Oblast.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51ffab881908448aff899511f2c |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4de1fae48190a1149f639faca147 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:12 p.m.