Triple
T2223458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolshaya Koltsevaya Line |
E48192
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Karamyshevskaya |
E244652
|
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: Karamyshevskaya | Statement: [Bolshaya Koltsevaya Line, hasStation, Karamyshevskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karamyshevskaya Context triple: [Bolshaya Koltsevaya Line, hasStation, Karamyshevskaya]
-
A.
Karamyshevskaya
chosen
Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
-
B.
Paveletskaya
Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
-
C.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
D.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
E.
Aminyevskaya
Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03d1df88190950c691a4c246bd1 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b030fc819c8190a1bd9bba49760fec |
completed | March 10, 2026, 2:55 p.m. |
Created at: March 4, 2026, 7:47 p.m.