Triple
T17709803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syretsko–Pecherska line |
E441532
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Lukianivska
Lukianivska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Lukianivka neighborhood in Ukraine’s capital.
|
E1294537
|
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: Lukianivska | Statement: [Syretsko–Pecherska line, hasStation, Lukianivska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukianivska Context triple: [Syretsko–Pecherska line, hasStation, Lukianivska]
-
A.
Shuliavska
Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
-
B.
Letychiv
Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
-
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.
Petrykiv
Petrykiv is a surname of likely Eastern European origin, associated with individuals or places bearing a similar name such as Petrykiv.
-
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: Lukianivska Triple: [Syretsko–Pecherska line, hasStation, Lukianivska]
Generated description
Lukianivska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Lukianivka neighborhood in Ukraine’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lukianivska Target entity description: Lukianivska is a Kyiv Metro station on the Syretsko–Pecherska line serving the Lukianivka neighborhood in Ukraine’s capital.
-
A.
Shuliavska
Shuliavska is a station on the Kyiv Metro system in Ukraine, serving passengers on one of the city's main rapid transit lines.
-
B.
Letychiv
Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
-
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.
Petrykiv
Petrykiv is a surname of likely Eastern European origin, associated with individuals or places bearing a similar name such as Petrykiv.
-
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_6a031b149edc81909cb2a14a54c11d02 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031b90f94881908655f8bea05ecf0a |
completed | May 12, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031be43c8c8190bcd67b9b6a2bce9e |
completed | May 12, 2026, 12:24 p.m. |
Created at: April 10, 2026, 10:05 a.m.