Triple
T14430193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арбатско-Покровская линия |
E357804
|
entity |
| Predicate | имеетСтанцию |
P726
|
FINISHED |
| Object |
Кунцевская
«Кунцевская» — станция Московского метрополитена, расположенная на западе города и служащая важным пересадочным узлом между несколькими линиями.
|
E1100045
|
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: Кунцевская | Statement: [Арбатско-Покровская линия, имеетСтанцию, Кунцевская]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Кунцевская Context triple: [Арбатско-Покровская линия, имеетСтанцию, Кунцевская]
-
A.
Serpukhovskaya
Serpukhovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in central Moscow.
-
B.
Тимирязевская
Тимирязевская — это станция Московского метрополитена, расположенная на Серпуховско-Тимирязевской линии на севере Москвы.
-
C.
Черкизовская
Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
-
D.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
E.
Воронцовская
Воронцовская — это станция Московского метрополитена, расположенная на Большой кольцевой линии.
- 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: Кунцевская Triple: [Арбатско-Покровская линия, имеетСтанцию, Кунцевская]
Generated description
«Кунцевская» — станция Московского метрополитена, расположенная на западе города и служащая важным пересадочным узлом между несколькими линиями.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Кунцевская Target entity description: «Кунцевская» — станция Московского метрополитена, расположенная на западе города и служащая важным пересадочным узлом между несколькими линиями.
-
A.
Serpukhovskaya
Serpukhovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in central Moscow.
-
B.
Тимирязевская
Тимирязевская — это станция Московского метрополитена, расположенная на Серпуховско-Тимирязевской линии на севере Москвы.
-
C.
Черкизовская
Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
-
D.
Kutuzovskaya
Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western Moscow.
-
E.
Воронцовская
Воронцовская — это станция Московского метрополитена, расположенная на Большой кольцевой линии.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd1c4d0819085edb9ed22128b68 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d42e1b48190b41ecafcf9ca9a3b |
completed | May 8, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e1ca1e081908441508d651ecc63 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 10, 2026, 1:18 a.m.