Triple
T2051929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalininsko–Solntsevskaya Line |
E45587
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Novokosino |
E229092
|
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: Novokosino | Statement: [Kalininsko–Solntsevskaya Line, hasStation, Novokosino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novokosino Context triple: [Kalininsko–Solntsevskaya Line, hasStation, Novokosino]
-
A.
Novokosino
chosen
Novokosino is a Moscow Metro station serving as the eastern terminus of the Kalininsko–Solntsevskaya Line in the Novokosino District of Moscow, Russia.
-
B.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
C.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
-
D.
Sokolniki
Sokolniki is a Moscow Metro station on the Big Circle Line, serving the Sokolniki District in Russia’s capital.
-
E.
Novo-Ogaryovo
Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2719acbc819081705bc0449a5995 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:39 p.m.