Triple
T2167553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serpukhovsko–Timiryazevskaya Line |
E46944
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Chertanovskaya
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
|
E294115
|
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: Chertanovskaya | Statement: [Serpukhovsko–Timiryazevskaya Line, hasStation, Chertanovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chertanovskaya Context triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Chertanovskaya]
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
C.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
D.
Borovitskaya
Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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: Chertanovskaya Triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Chertanovskaya]
Generated description
Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chertanovskaya Target entity description: Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
-
A.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
C.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
D.
Borovitskaya
Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
-
E.
Dobryninskaya
Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeac9d688190bfa68715e173771e |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbba881848190acaff6d216799c2d |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc2d10c88190a3f265843f98024b |
completed | March 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbc9dc9248190abd42ad9785c8605 |
completed | March 10, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:45 p.m.