Triple
T21514282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piaski |
E530803
|
entity |
| Predicate | locatedEastOf |
P4240
|
FINISHED |
| Object | Krynica Morska |
—
|
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: Krynica Morska | Statement: [Piaski, locatedEastOf, Krynica Morska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krynica Morska Context triple: [Piaski, locatedEastOf, Krynica Morska]
-
A.
Krynica Morska
chosen
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Chojnik
Chojnik is a village in northern Poland located within the administrative district of Gmina Morąg in the Warmian-Masurian Voivodeship.
-
D.
Skawica
Skawica is a village in southern Poland, located in the Lesser Poland Voivodeship within the administrative district of powiat suski.
-
E.
Biała Piska
Biała Piska is a small town in northeastern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.