Triple
T940052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomerania |
E20284
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Słupsk
Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
|
E178809
|
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: Słupsk | Statement: [Pomerania, containsCity, Słupsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Słupsk Context triple: [Pomerania, containsCity, Słupsk]
-
A.
Koszalin
Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
-
B.
Gdańsk
Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
-
C.
Szczecin
Szczecin is a large Polish city and important maritime and industrial center in northwestern Poland, situated near the Baltic Sea and the German border.
-
D.
Toruń
Toruń is a historic city in northern Poland, renowned for its well-preserved medieval Old Town and as the birthplace of astronomer Nicolaus Copernicus.
-
E.
Opole
Opole is a historic city in southwestern Poland, known as one of the country’s oldest urban centers and a regional cultural hub.
- 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: Słupsk Triple: [Pomerania, containsCity, Słupsk]
Generated description
Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Słupsk Target entity description: Słupsk is a historic city in northern Poland known for its medieval architecture and location near the Baltic Sea.
-
A.
Koszalin
Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
-
B.
Gdańsk
Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
-
C.
Szczecin
Szczecin is a large Polish city and important maritime and industrial center in northwestern Poland, situated near the Baltic Sea and the German border.
-
D.
Toruń
Toruń is a historic city in northern Poland, renowned for its well-preserved medieval Old Town and as the birthplace of astronomer Nicolaus Copernicus.
-
E.
Opole
Opole is a historic city in southwestern Poland, known as one of the country’s oldest urban centers and a regional cultural hub.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38b7da08190ac0853655dab678a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3ffcca648190b73d39b92dafe0fe |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40e7db808190a94dd9932ea8d6c4 |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad417c2ff48190af8e62a015b45c6b |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 1, 2026, 7:40 p.m.