Triple
T13155239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaluzhsko–Rizhskaya Line |
E312566
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Alekseyevskaya
Alekseyevskaya is a Moscow Metro station located on the Kaluzhsko–Rizhskaya Line, serving the Alekseyevsky District in northeastern Moscow.
|
E1024030
|
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: Alekseyevskaya | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Alekseyevskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alekseyevskaya Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Alekseyevskaya]
-
A.
Alexeyevsk
Alexeyevsk is the former name of the Russian town now known as Belogorsk, located in Amur Oblast in the Russian Far East.
-
B.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
C.
Zheleznovodsk
Zheleznovodsk is a spa town in Russia’s Stavropol Krai, known for its mineral springs and health resorts in the Caucasus region.
-
D.
Nakhodka
Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
-
E.
Sevastopolskaya
Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
- 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: Alekseyevskaya Triple: [Kaluzhsko–Rizhskaya Line, hasStation, Alekseyevskaya]
Generated description
Alekseyevskaya is a Moscow Metro station located on the Kaluzhsko–Rizhskaya Line, serving the Alekseyevsky District in northeastern Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alekseyevskaya Target entity description: Alekseyevskaya is a Moscow Metro station located on the Kaluzhsko–Rizhskaya Line, serving the Alekseyevsky District in northeastern Moscow.
-
A.
Alexeyevsk
Alexeyevsk is the former name of the Russian town now known as Belogorsk, located in Amur Oblast in the Russian Far East.
-
B.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
C.
Zheleznovodsk
Zheleznovodsk is a spa town in Russia’s Stavropol Krai, known for its mineral springs and health resorts in the Caucasus region.
-
D.
Nakhodka
Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
-
E.
Sevastopolskaya
Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ef102fb08190b8a9646e5b45155c |
completed | May 3, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef933f888190880e680f7f4c1c29 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:12 p.m.