Triple
T8054199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakhimovskoye |
E187753
|
entity |
| Predicate | admitsAlternativeForms |
P18099
|
FINISHED |
| Object |
Nakhimovskaya
Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
|
E706996
|
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: Nakhimovskaya | Statement: [Nakhimovskoye, admitsAlternativeForms, Nakhimovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakhimovskaya Context triple: [Nakhimovskoye, admitsAlternativeForms, Nakhimovskaya]
-
A.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Navalnaya
Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
-
D.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
-
E.
Krasnogvardeyskaya
Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern 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: Nakhimovskaya Triple: [Nakhimovskoye, admitsAlternativeForms, Nakhimovskaya]
Generated description
Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakhimovskaya Target entity description: Nakhimovskaya is an alternative form of the Russian place name Nakhimovskoye, typically reflecting feminine grammatical gender in Russian toponymy.
-
A.
Khoroshevskaya
Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
-
B.
Malaya Nevka
Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
-
C.
Navalnaya
Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
-
D.
Krasnopresnenskaya
Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
-
E.
Krasnogvardeyskaya
Krasnogvardeyskaya is a Moscow Metro station on the Zamoskvoretskaya Line serving the southern 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f9fb8dc8190bacc1f66ddfd1cbf |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc572058048190996fa77774bf44ba |
completed | March 31, 2026, 11:22 p.m. |
| NEDg | Description generation | batch_69cc58edb31881909b6efd2fbbc2480e |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cd22b188190b8a31e8e8ac8b98d |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:25 p.m.