Triple
T6353613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Pomeranian Voivodeship |
E142935
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Myślibórz
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
|
E690688
|
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: Myślibórz | Statement: [West Pomeranian Voivodeship, containsCity, Myślibórz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myślibórz Context triple: [West Pomeranian Voivodeship, containsCity, Myślibórz]
-
A.
Elbląg
Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
-
B.
Kołobrzeg
Kołobrzeg is a historic Polish port and spa city on the Baltic Sea, known for its beaches, seaside resorts, and role as a popular tourist destination.
-
C.
Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
D.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
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: Myślibórz Triple: [West Pomeranian Voivodeship, containsCity, Myślibórz]
Generated description
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myślibórz Target entity description: Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
-
A.
Elbląg
Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
-
B.
Kołobrzeg
Kołobrzeg is a historic Polish port and spa city on the Baltic Sea, known for its beaches, seaside resorts, and role as a popular tourist destination.
-
C.
Brzeg
Brzeg is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
-
D.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
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_69c941f469c881908e83cfd6c8191af1 |
completed | March 29, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69c945f81a708190a5c83f0f6a8f6a71 |
completed | March 29, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9466cb89c8190ae4a045290d1964a |
completed | March 29, 2026, 3:34 p.m. |
Created at: March 22, 2026, 4:31 p.m.