Triple
T9721549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorontsov Palace |
E235483
|
entity |
| Predicate | facing |
P1699
|
FINISHED |
| Object | Odesa Bay |
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 Bay | Statement: [Vorontsov Palace, facing, Odesa Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odesa Bay Context triple: [Vorontsov Palace, facing, Odesa Bay]
-
A.
Sevastopol Bay
Sevastopol Bay is a strategic natural harbor on the Black Sea in Crimea, known for its naval history and role as the main base of the Russian Black Sea Fleet.
-
B.
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.
-
C.
Kyiv Sea
Kyiv Sea is a large artificial reservoir on the Dnieper River north of Kyiv, Ukraine, created by a hydroelectric dam and known for its vast, sea-like expanse.
-
D.
Gelendzhik Bay
Gelendzhik Bay is a scenic Black Sea inlet on Russia’s Caucasian coast, known for its resort beaches and the seaside city of Gelendzhik along its shores.
-
E.
Berdyansk Bay
Berdyansk Bay is a shallow bay of the Sea of Azov in southeastern Ukraine, known for its coastal resort areas and the port city of Berdyansk on its shores.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e42ce948190b52791b27c4456dc |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afa6d0d08190a8008b675c9aabb1 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:20 p.m.