Triple
T17709808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syretsko–Pecherska line |
E441532
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Druzhby Narodiv
Druzhby Narodiv is a Kyiv Metro station on the Syretsko–Pecherska Line serving the Pechersk district of Ukraine’s capital.
|
E1284037
|
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: Druzhby Narodiv | Statement: [Syretsko–Pecherska line, hasStation, Druzhby Narodiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Druzhby Narodiv Context triple: [Syretsko–Pecherska line, hasStation, Druzhby Narodiv]
-
A.
Slava Ukrayini
Slava Ukrayini is a prominent Ukrainian patriotic slogan and greeting that expresses national pride and solidarity, often translated as "Glory to Ukraine."
-
B.
Ukrainka
Ukrainka is a small city in northern Ukraine situated along the Dnipro River within the Kyiv metropolitan area.
-
C.
Krasnyi Luch
Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
-
D.
Sovet-Kvadzhe
Sovet-Kvadzhe is a rural settlement located within the Lazarevsky District of Krasnodar Krai, Russia, near the Black Sea coast.
-
E.
Dniproavia
Dniproavia is a Ukrainian airline that operated domestic and international passenger flights, primarily serving the city of Dnipro and its surrounding region.
- 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: Druzhby Narodiv Triple: [Syretsko–Pecherska line, hasStation, Druzhby Narodiv]
Generated description
Druzhby Narodiv is a Kyiv Metro station on the Syretsko–Pecherska Line serving the Pechersk district of Ukraine’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Druzhby Narodiv Target entity description: Druzhby Narodiv is a Kyiv Metro station on the Syretsko–Pecherska Line serving the Pechersk district of Ukraine’s capital.
-
A.
Slava Ukrayini
Slava Ukrayini is a prominent Ukrainian patriotic slogan and greeting that expresses national pride and solidarity, often translated as "Glory to Ukraine."
-
B.
Ukrainka
Ukrainka is a small city in northern Ukraine situated along the Dnipro River within the Kyiv metropolitan area.
-
C.
Krasnyi Luch
Krasnyi Luch is an industrial city in eastern Ukraine known for its coal mining and heavy industry.
-
D.
Sovet-Kvadzhe
Sovet-Kvadzhe is a rural settlement located within the Lazarevsky District of Krasnodar Krai, Russia, near the Black Sea coast.
-
E.
Dniproavia
Dniproavia is a Ukrainian airline that operated domestic and international passenger flights, primarily serving the city of Dnipro and its surrounding region.
- 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.