Triple
T20008508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krymsky Val Street |
E494524
|
entity |
| Predicate | hasNameInRussian |
P20560
|
FINISHED |
| Object | Крымский Вал |
—
|
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: Крымский Вал | Statement: [Krymsky Val Street, hasNameInRussian, Крымский Вал]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Крымский Вал Context triple: [Krymsky Val Street, hasNameInRussian, Крымский Вал]
-
A.
Krymsky Val
chosen
Krymsky Val is a notable street in central Moscow, Russia, known for its proximity to Gorky Park and several major cultural institutions.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
D.
Obolon
Obolon is a residential and commercial district in northern Kyiv, Ukraine, known for its large housing estates, riverfront location along the Dnieper, and extensive public transport connections.
-
E.
Trebunskaya
Trebunskaya is the surname of Anna Trebunskaya, a Russian-American professional ballroom dancer known for her appearances on "Dancing with the Stars."
- 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_69e661a7500481908b69f74e479f88c8 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.