Triple
T15300196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novosibirsk Metro |
E365764
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Zaeltsovskaya
Zaeltsovskaya is a metro station on the Novosibirsk Metro system in Novosibirsk, Russia.
|
E1149917
|
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: Zaeltsovskaya | Statement: [Novosibirsk Metro, hasStation, Zaeltsovskaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaeltsovskaya Context triple: [Novosibirsk Metro, hasStation, Zaeltsovskaya]
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Sukharevskaya
Sukharevskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya Line, located near the historic Sukharev Square in central Moscow.
-
D.
Karamyshevskaya
Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
-
E.
Shabolovskaya
Shabolovskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, located near the Shabolovka area and known for serving the surrounding residential and business districts.
- 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: Zaeltsovskaya Triple: [Novosibirsk Metro, hasStation, Zaeltsovskaya]
Generated description
Zaeltsovskaya is a metro station on the Novosibirsk Metro system in Novosibirsk, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaeltsovskaya Target entity description: Zaeltsovskaya is a metro station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
A.
Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
-
B.
Savyolovskaya
Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
-
C.
Sukharevskaya
Sukharevskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya Line, located near the historic Sukharev Square in central Moscow.
-
D.
Karamyshevskaya
Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
-
E.
Shabolovskaya
Shabolovskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, located near the Shabolovka area and known for serving the surrounding residential and business districts.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0368869f8819098cf9e7801e37548 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefadf701c81909f23011643ef63f0 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefb42f11481908dd98e48fb068127 |
completed | May 9, 2026, 9:15 a.m. |
Created at: April 10, 2026, 3:15 a.m.