Triple
T16927157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bug Estuary |
E410603
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Mykolaiv |
—
|
NE NERFINISHED |
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: Mykolaiv | Statement: [Bug Estuary, nearCity, Mykolaiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mykolaiv Context triple: [Bug Estuary, nearCity, Mykolaiv]
-
A.
Mykolaiv
chosen
Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
-
B.
Kherson
Kherson is a port city in southern Ukraine near the Black Sea, historically significant as a shipbuilding and industrial center and strategically important due to its location on the Dnieper River.
-
C.
Kryvyi Rih
Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore mining and steel production.
-
D.
Odesa
Odesa is a major port city on the Black Sea in southern Ukraine, known for its historic architecture, multicultural heritage, and key economic and cultural role in the country.
-
E.
Oleksandriia
Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf2dcd881909798bd245e18c599 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 5:30 a.m.