Triple
T19998314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Crimean Canal |
E494252
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Simferopol |
—
|
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: Simferopol | Statement: [North Crimean Canal, passesNear, Simferopol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simferopol Context triple: [North Crimean Canal, passesNear, Simferopol]
-
A.
Simferopol
chosen
Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
-
B.
Yevpatoria
Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
-
C.
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.
-
D.
Mykolaiv
Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
-
E.
Feodosia Solovaya
Feodosia Solovaya was a Russian noblewoman best known as the first wife of Ivan Ivanovich, the son and heir of Tsar Ivan the Terrible.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe6827481909469129feb9aad91 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:32 p.m.