Triple
T17720258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livoberezhna |
E442314
|
entity |
| Predicate | followedByStation |
P42146
|
FINISHED |
| Object | Hidropark |
—
|
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: Hidropark | Statement: [Livoberezhna, followedByStation, Hidropark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hidropark Context triple: [Livoberezhna, followedByStation, Hidropark]
-
A.
Hidropark
chosen
Hidropark is a Kyiv Metro station serving the recreational Hydropark island area on the Sviatoshynsko–Brovarska line.
-
B.
Berdyansk water park
Berdyansk water park is a recreational aquatic complex in the Ukrainian resort city of Berdyansk, featuring pools, water slides, and family-oriented entertainment facilities.
-
C.
Aquapark Tatralandia
Aquapark Tatralandia is a large water park and thermal resort in Slovakia, known for its numerous pools, slides, and wellness facilities.
-
D.
Cancicov Park
Cancicov Park is a major public green space and recreational park located in the city of Bacău, Romania.
-
E.
Viktoriapark
Viktoriapark is a public park in Berlin known for its landscaped green spaces, artificial waterfall, and prominent National Monument on Kreuzberg hill.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4748520a881908dc3446d33236ff7 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:07 a.m.