Triple
T5522716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vistula Spit |
E144848
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Krynica Morska
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
|
E530802
|
NE FINISHED |
How this triple was built (4 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: [Vistula Spit, hasSettlement, Krynica Morska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krynica Morska Context triple: [Vistula Spit, hasSettlement, Krynica Morska]
-
A.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
B.
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.
-
C.
Krakower See
Krakower See is a scenic lake in northeastern Germany’s Mecklenburg Lake District, known for its natural beauty, recreational opportunities, and surrounding protected landscapes.
-
D.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
E.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krynica Morska Triple: [Vistula Spit, hasSettlement, Krynica Morska]
Generated description
Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krynica Morska Target entity description: Krynica Morska is a Polish seaside resort town on the Vistula Spit, known for its sandy beaches and tourism on the Baltic coast.
-
A.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
B.
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.
-
C.
Krakower See
Krakower See is a scenic lake in northeastern Germany’s Mecklenburg Lake District, known for its natural beauty, recreational opportunities, and surrounding protected landscapes.
-
D.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
E.
Mława
Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
- F. None of above. chosen
Provenance (5 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027f2e98c8190880752c9ae8aba4f |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c04375a6e48190be2ce054fe79f8fc |
completed | March 22, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c043f987a48190828e012763fa0576 |
completed | March 22, 2026, 7:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.