Triple
T2167539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serpukhovsko–Timiryazevskaya Line |
E46944
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
|
E280305
|
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: Timiryazevskaya | Statement: [Serpukhovsko–Timiryazevskaya Line, hasStation, Timiryazevskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timiryazevskaya Context triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Timiryazevskaya]
-
A.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
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.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
D.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
E.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
- 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: Timiryazevskaya Triple: [Serpukhovsko–Timiryazevskaya Line, hasStation, Timiryazevskaya]
Generated description
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timiryazevskaya Target entity description: Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
A.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
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.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
D.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
E.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
- 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_69af6533d4b88190ac722cd1ebfa3d8f |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af66c7e25c819095c993553b428385 |
completed | March 10, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af671900e081908e9b9e24aae651e2 |
completed | March 10, 2026, 12:34 a.m. |
Created at: March 4, 2026, 7:45 p.m.