Triple
T9006500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yelshanka station |
E215155
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Yelshanka
Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
|
E781554
|
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: Yelshanka | Statement: [Yelshanka station, namedAfter, Yelshanka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yelshanka Context triple: [Yelshanka station, namedAfter, Yelshanka]
-
A.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
B.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Verkhnyaya Sinyachikha
Verkhnyaya Sinyachikha is an urban locality in Russia situated within Sverdlovsk Oblast in the Ural region.
-
E.
Korukivka
Korukivka is a small city in northern Ukraine known for its location within the Chernihiv region and its historical significance, including tragic events during World War II.
- 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: Yelshanka Triple: [Yelshanka station, namedAfter, Yelshanka]
Generated description
Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yelshanka Target entity description: Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
-
A.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
B.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
C.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
D.
Verkhnyaya Sinyachikha
Verkhnyaya Sinyachikha is an urban locality in Russia situated within Sverdlovsk Oblast in the Ural region.
-
E.
Korukivka
Korukivka is a small city in northern Ukraine known for its location within the Chernihiv region and its historical significance, including tragic events during World War II.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0543acf50819091d0d831a106e169 |
completed | April 3, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:05 p.m.