Triple
T2331588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbatsko–Pokrovskaya Line |
E44213
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Shchyolkovskaya |
E256870
|
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: Shchyolkovskaya | Statement: [Arbatsko–Pokrovskaya Line, hasStation, Shchyolkovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shchyolkovskaya Context triple: [Arbatsko–Pokrovskaya Line, hasStation, Shchyolkovskaya]
-
A.
Shchyolkovskaya
chosen
Shchyolkovskaya is a Moscow Metro station serving as the eastern terminus of the Arbatsko–Pokrovskaya Line.
-
B.
Alliluyeva
Alliluyeva is a Russian surname most notably borne by Nadezhda Alliluyeva, the second wife of Soviet leader Joseph Stalin.
-
C.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
D.
Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
-
E.
Khokhlova
Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc669956881908b8d9784d6a06acf |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96185a1c8190a115588f8a5b92f7 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:51 p.m.