Triple
T10989566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitsevsky Park |
E259720
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object |
Novoyasenevskaya
Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
|
E898417
|
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: Novoyasenevskaya | Statement: [Bitsevsky Park, hasConnection, Novoyasenevskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novoyasenevskaya Context triple: [Bitsevsky Park, hasConnection, Novoyasenevskaya]
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Aminyevskaya
Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
-
D.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
E.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
- 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: Novoyasenevskaya Triple: [Bitsevsky Park, hasConnection, Novoyasenevskaya]
Generated description
Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novoyasenevskaya Target entity description: Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Aminyevskaya
Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
-
D.
Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
-
E.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b6d0b48190aaf959e2609d34e5 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3593b0f8481909ed7a90f8bb9839d |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.