Triple
T6353621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mielno
Mielno is a Polish seaside resort town on the Baltic coast, known for its beaches, lakeside setting, and popular summer tourism.
|
E803514
|
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: Mielno | Statement: [West Pomeranian Voivodeship, containsCity, Mielno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mielno Context triple: [West Pomeranian Voivodeship, containsCity, Mielno]
-
A.
Imielno
Imielno is a village in south-central Poland located within the Świętokrzyskie Voivodeship.
-
B.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
C.
Szczucin
Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
-
D.
Kętrzyn
Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
-
E.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
- 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: Mielno Triple: [West Pomeranian Voivodeship, containsCity, Mielno]
Generated description
Mielno is a Polish seaside resort town on the Baltic coast, known for its beaches, lakeside setting, and popular summer tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mielno Target entity description: Mielno is a Polish seaside resort town on the Baltic coast, known for its beaches, lakeside setting, and popular summer tourism.
-
A.
Imielno
Imielno is a village in south-central Poland located within the Świętokrzyskie Voivodeship.
-
B.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
C.
Szczucin
Szczucin is a small town in southern Poland, situated near the Vistula River and known historically as a local trade and transport hub.
-
D.
Kętrzyn
Kętrzyn is a historic town in northeastern Poland known for its medieval architecture and proximity to the Masurian Lake District.
-
E.
Grodkowo
Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
- 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_69d1399616708190968442c5389166cf |
completed | April 4, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69d13b3887148190b2cfe4a1466509fa |
completed | April 4, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13b975c688190be72b89cf1845956 |
completed | April 4, 2026, 4:25 p.m. |
Created at: March 22, 2026, 4:31 p.m.