Triple
T17709858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sviatoshynsko–Brovarska line |
E441533
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Chernihivska
Chernihivska is a metro station on the Kyiv Metro system in Ukraine, serving the eastern part of the city.
|
E1300866
|
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: Chernihivska | Statement: [Sviatoshynsko–Brovarska line, hasStation, Chernihivska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chernihivska Context triple: [Sviatoshynsko–Brovarska line, hasStation, Chernihivska]
-
A.
Chernihiv
Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
-
B.
Vinnytsia
Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
-
C.
Kharkivska
Kharkivska is a metro station on the Kyiv Metro system in Ukraine.
-
D.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
E.
Kolomyia
Kolomyia is a historic city in western Ukraine known for its cultural heritage, traditional Hutsul art, and the renowned Pysanka (Easter egg) Museum.
- 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: Chernihivska Triple: [Sviatoshynsko–Brovarska line, hasStation, Chernihivska]
Generated description
Chernihivska is a metro station on the Kyiv Metro system in Ukraine, serving the eastern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chernihivska Target entity description: Chernihivska is a metro station on the Kyiv Metro system in Ukraine, serving the eastern part of the city.
-
A.
Chernihiv
Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
-
B.
Vinnytsia
Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
-
C.
Kharkivska
Kharkivska is a metro station on the Kyiv Metro system in Ukraine.
-
D.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
E.
Kolomyia
Kolomyia is a historic city in western Ukraine known for its cultural heritage, traditional Hutsul art, and the renowned Pysanka (Easter egg) Museum.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729a9a9c81908d65ff0bda12c961 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03430c26708190a12069df95f760de |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a0343b583088190bbafd4ef3aad5218 |
completed | May 12, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03445d9d208190b2d72012c4b4407f |
completed | May 12, 2026, 3:16 p.m. |
Created at: April 10, 2026, 10:05 a.m.