Triple
T17709759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sviatoshynsko–Brovarska line |
E441531
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Shuliavska
Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
|
E1290414
|
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: Shuliavska | Statement: [Sviatoshynsko–Brovarska line, hasStation, Shuliavska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuliavska Context triple: [Sviatoshynsko–Brovarska line, hasStation, Shuliavska]
-
A.
Vasylkiv
Vasylkiv is a historic town in central Ukraine, known for its long-standing administrative role and its location near the capital city of Kyiv.
-
B.
Pervomaiskyi
Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
-
C.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
D.
Zvenyhorodka
Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
E.
Yaremche
Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
- 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: Shuliavska Triple: [Sviatoshynsko–Brovarska line, hasStation, Shuliavska]
Generated description
Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shuliavska Target entity description: Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
-
A.
Vasylkiv
Vasylkiv is a historic town in central Ukraine, known for its long-standing administrative role and its location near the capital city of Kyiv.
-
B.
Pervomaiskyi
Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
-
C.
Rubizhne
Rubizhne is an industrial city in eastern Ukraine known for its chemical and manufacturing industries and its location within the conflict-affected Donbas region.
-
D.
Zvenyhorodka
Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
E.
Yaremche
Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
- 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_6a0306e5b0048190b7e3646c0b4ebef1 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a03076d2df88190b7165515d1471ee9 |
completed | May 12, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0307f6b8e0819090c2a600477cbb5b |
completed | May 12, 2026, 10:59 a.m. |
Created at: April 10, 2026, 10:05 a.m.