Triple
T6353612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Drawsko Pomorskie
Drawsko Pomorskie is a town in north-western Poland known for its historical architecture and proximity to the Drawsko Lake District and military training areas.
|
E586138
|
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: Drawsko Pomorskie | Statement: [West Pomeranian Voivodeship, containsCity, Drawsko Pomorskie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drawsko Pomorskie Context triple: [West Pomeranian Voivodeship, containsCity, Drawsko Pomorskie]
-
A.
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.
-
B.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
C.
Słupsk Coast
Słupsk Coast is a coastal region in northern Poland along the Baltic Sea, known for its sandy beaches, dunes, and seaside resorts.
-
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.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
- 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: Drawsko Pomorskie Triple: [West Pomeranian Voivodeship, containsCity, Drawsko Pomorskie]
Generated description
Drawsko Pomorskie is a town in north-western Poland known for its historical architecture and proximity to the Drawsko Lake District and military training areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drawsko Pomorskie Target entity description: Drawsko Pomorskie is a town in north-western Poland known for its historical architecture and proximity to the Drawsko Lake District and military training areas.
-
A.
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.
-
B.
Ustka
Ustka is a Baltic Sea coastal town in northern Poland known as a popular seaside resort and fishing port.
-
C.
Słupsk Coast
Słupsk Coast is a coastal region in northern Poland along the Baltic Sea, known for its sandy beaches, dunes, and seaside resorts.
-
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.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60459a7c081909b551dcf1735bf75 |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c605212688819081fc8f9c1500ff50 |
completed | March 27, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605c0db308190960370a81ff8123b |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:31 p.m.