Triple
T17709847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sviatoshynsko–Brovarska line |
E441533
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Shuliavska |
E1290414
|
NE FINISHED |
How this triple was built (2 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.
Shuliavska
chosen
Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
-
B.
Lukianivska
Lukianivska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Lukianivka neighborhood in Ukraine’s capital.
-
C.
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.
-
D.
Pervomaiskyi
Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a032ffab0c48190bb03673653fa6fb8 |
completed | May 12, 2026, 1:49 p.m. |
Created at: April 10, 2026, 10:05 a.m.