Triple
T21746267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandrovsky Sad |
E536795
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Kalininskaya
Kalininskaya was the former name of the Moscow Metro station now known as Aleksandrovsky Sad, located near the Kremlin in central Moscow.
|
E1502368
|
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: Kalininskaya | Statement: [Aleksandrovsky Sad, formerName, Kalininskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalininskaya Context triple: [Aleksandrovsky Sad, formerName, Kalininskaya]
-
A.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
B.
Kastrychnitskaya
Kastrychnitskaya is a central Minsk Metro station known for serving the heart of Belarus’s capital near key administrative and cultural landmarks.
-
C.
Ulitskaya
Ulitskaya is the surname of Lyudmila Ulitskaya, a prominent contemporary Russian writer known for her psychologically rich novels and short stories.
-
D.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
E.
Miloslavskaya
Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
- 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: Kalininskaya Triple: [Aleksandrovsky Sad, formerName, Kalininskaya]
Generated description
Kalininskaya was the former name of the Moscow Metro station now known as Aleksandrovsky Sad, located near the Kremlin in central Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalininskaya Target entity description: Kalininskaya was the former name of the Moscow Metro station now known as Aleksandrovsky Sad, located near the Kremlin in central Moscow.
-
A.
Kuntsevskaya
Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
-
B.
Kastrychnitskaya
Kastrychnitskaya is a central Minsk Metro station known for serving the heart of Belarus’s capital near key administrative and cultural landmarks.
-
C.
Ulitskaya
Ulitskaya is the surname of Lyudmila Ulitskaya, a prominent contemporary Russian writer known for her psychologically rich novels and short stories.
-
D.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
E.
Miloslavskaya
Miloslavskaya is a Russian surname historically associated with the noble family of Maria Miloslavskaya, the first wife of Tsar Alexei I of Russia.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a76540c8190b91a67f4a70869fb |
completed | April 28, 2026, 2:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e663bd88190bc75a62848a9fb57 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f0745b0819084e481b0b3cdf011 |
completed | May 17, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3fbeace48190874b808fd94d9e3c |
completed | May 17, 2026, 10:22 p.m. |
Created at: April 16, 2026, 6:49 p.m.