Triple
T17772832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obolonsko–Teremkivska line |
E443683
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Teremky |
—
|
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: Teremky | Statement: [Obolonsko–Teremkivska line, hasStation, Teremky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teremky Context triple: [Obolonsko–Teremkivska line, hasStation, Teremky]
-
A.
Teremky
chosen
Teremky is a metro station on the Kyiv Metro system in Ukraine, serving as a transport hub for the Teremky residential area in the city’s southwestern part.
-
B.
Kastanitsa
Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
-
C.
Zalishchyky
Zalishchyky is a small town in western Ukraine known for its picturesque location on a bend of the Dniester River and its mild, almost Mediterranean microclimate.
-
D.
Kreminna
Kreminna is a small city in eastern Ukraine that has gained strategic significance due to its location in the Luhansk region near key transport routes and conflict zones.
-
E.
Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
- 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.