Triple
T14088920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkizovskaya |
E339070
|
entity |
| Predicate | hasRussianName |
P20560
|
FINISHED |
| Object |
Черкизовская
Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
|
E1081309
|
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: Черкизовская | Statement: [Cherkizovskaya, hasRussianName, Черкизовская]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Черкизовская Context triple: [Cherkizovskaya, hasRussianName, Черкизовская]
-
A.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
B.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
-
C.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
D.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
E.
Piotrovskaya
Piotrovskaya is the feminine form of the Russian surname Piotrovsky, typically used for women in Russian naming conventions.
- 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: Черкизовская Triple: [Cherkizovskaya, hasRussianName, Черкизовская]
Generated description
Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Черкизовская Target entity description: Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
-
A.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
B.
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
-
C.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
D.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
E.
Piotrovskaya
Piotrovskaya is the feminine form of the Russian surname Piotrovsky, typically used for women in Russian naming conventions.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce15e4d4c8190916ab384f37e7b11 |
completed | May 7, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1d5906c8190bd39e08861b9f53e |
completed | May 7, 2026, 7:02 p.m. |
Created at: April 9, 2026, 10:21 p.m.