Triple
T17772837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obolonsko–Teremkivska line |
E443683
|
entity |
| Predicate | hasTransferStation |
P2413
|
FINISHED |
| Object | Lybidska |
—
|
NE NERFINISHED |
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: Lybidska | Statement: [Obolonsko–Teremkivska line, hasTransferStation, Lybidska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lybidska Context triple: [Obolonsko–Teremkivska line, hasTransferStation, Lybidska]
-
A.
Lybidska
chosen
Lybidska is a Kyiv Metro station on the Obolonsko–Teremkivska (Blue) Line serving the southern part of Ukraine’s capital.
-
B.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
-
C.
Ladomírka
Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
-
D.
Lodoïska
Lodoïska is an opera by Luigi Cherubini, recognized as an important early example of French opéra comique with strong dramatic intensity and influence on later Romantic opera.
-
E.
Sudylkiv
Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871a2130819081743ae89dddc64b |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.