Triple
T2331593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbatsko–Pokrovskaya Line |
E44213
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
|
E262037
|
NE FINISHED |
How this triple was built (4 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: Krylatskoye | Statement: [Arbatsko–Pokrovskaya Line, hasStation, Krylatskoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krylatskoye Context triple: [Arbatsko–Pokrovskaya Line, hasStation, Krylatskoye]
-
A.
Novogireyevo
Novogireyevo is a Moscow Metro station serving the Novogireyevo District in the eastern part of Moscow, Russia.
-
B.
Kashirskaya
Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
-
C.
Kolomenskaya
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
-
D.
Sokolniki
Sokolniki is a Moscow Metro station on the Big Circle Line, serving the Sokolniki District in Russia’s capital.
-
E.
Sergiyev Posad
Sergiyev Posad is a historic Russian town best known as a major center of Orthodox Christianity and home to the UNESCO-listed Trinity Lavra of St. Sergius monastery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krylatskoye Triple: [Arbatsko–Pokrovskaya Line, hasStation, Krylatskoye]
Generated description
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krylatskoye Target entity description: Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
A.
Novogireyevo
Novogireyevo is a Moscow Metro station serving the Novogireyevo District in the eastern part of Moscow, Russia.
-
B.
Kashirskaya
Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
-
C.
Kolomenskaya
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
-
D.
Sokolniki
Sokolniki is a Moscow Metro station on the Big Circle Line, serving the Sokolniki District in Russia’s capital.
-
E.
Sergiyev Posad
Sergiyev Posad is a historic Russian town best known as a major center of Orthodox Christianity and home to the UNESCO-listed Trinity Lavra of St. Sergius monastery.
- F. None of above. chosen
Provenance (5 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_69aeb3be86dc8190af185bac9554e7d6 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb46f882881909294a3698ead865e |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb4c715a88190b1009a2cf1d95441 |
completed | March 9, 2026, 11:53 a.m. |
Created at: March 4, 2026, 7:51 p.m.