Triple
T15027613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolin National Park |
E378257
|
entity |
| Predicate | hasCityNearby |
P3883
|
FINISHED |
| Object | Międzyzdroje |
E480842
|
NE FINISHED |
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: Międzyzdroje | Statement: [Wolin National Park, hasCityNearby, Międzyzdroje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Międzyzdroje Context triple: [Wolin National Park, hasCityNearby, Międzyzdroje]
-
A.
Międzyzdroje
chosen
Międzyzdroje is a popular seaside resort town on the Baltic coast of northwestern Poland, known for its sandy beaches, promenade, and proximity to Wolin National Park.
-
B.
Międzychód
Międzychód is a town in western Poland known for its picturesque lakeside setting and surrounding forested landscapes.
-
C.
Lądek-Zdrój
Lądek-Zdrój is one of Poland’s oldest and most renowned spa towns, famed for its historic architecture and therapeutic mineral springs in the Lower Silesian region.
-
D.
Krynica-Zdrój
Krynica-Zdrój is a well-known Polish spa and resort town in the Beskid Sądecki mountains, famed for its mineral springs and health tourism.
-
E.
Kudowa-Zdrój
Kudowa-Zdrój is a historic spa town in southwestern Poland, renowned for its mineral springs, health resorts, and picturesque setting near the Czech border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.