Triple
T17709806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syretsko–Pecherska line |
E441532
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Klovska
Klovska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Klovska neighborhood in Ukraine’s capital.
|
E1284036
|
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: Klovska | Statement: [Syretsko–Pecherska line, hasStation, Klovska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klovska Context triple: [Syretsko–Pecherska line, hasStation, Klovska]
-
A.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
B.
Körbelová
Körbelová is a Czech surname, notably borne by Marie Jana Körbelová, better known as the writer Božena Němcová.
-
C.
Kleiza
Kleiza is the surname of Lithuanian former professional basketball player Linas Kleiza, who played in the NBA and for top European clubs.
-
D.
Krislov
Krislov is a surname most notably associated with Marvin Krislov, an American academic administrator and university president.
-
E.
Prusakova
Prusakova is the maiden surname of Marina Oswald, the Russian-born widow of Lee Harvey Oswald.
- 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: Klovska Triple: [Syretsko–Pecherska line, hasStation, Klovska]
Generated description
Klovska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Klovska neighborhood in Ukraine’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klovska Target entity description: Klovska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Klovska neighborhood in Ukraine’s capital.
-
A.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
B.
Körbelová
Körbelová is a Czech surname, notably borne by Marie Jana Körbelová, better known as the writer Božena Němcová.
-
C.
Kleiza
Kleiza is the surname of Lithuanian former professional basketball player Linas Kleiza, who played in the NBA and for top European clubs.
-
D.
Krislov
Krislov is a surname most notably associated with Marvin Krislov, an American academic administrator and university president.
-
E.
Prusakova
Prusakova is the maiden surname of Marina Oswald, the Russian-born widow of Lee Harvey Oswald.
- 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_6a023025ae808190ba3e9a875bfc68e9 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a023249cfb0819091d3fa8c3089f241 |
completed | May 11, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0232ce696c81908d0e57ea214f88ce |
completed | May 11, 2026, 7:49 p.m. |
Created at: April 10, 2026, 10:05 a.m.