Triple
T12084860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen, Germany |
E287779
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Bergen, Denmark
Bergen, Denmark is a small Danish town known for its rural character and cultural ties to its German twin town, Bergen.
|
E969020
|
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: Bergen, Denmark | Statement: [Bergen, Germany, hasTwinTown, Bergen, Denmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergen, Denmark Context triple: [Bergen, Germany, hasTwinTown, Bergen, Denmark]
-
A.
Frederiksberg, Denmark
Frederiksberg, Denmark is an affluent, centrally located municipality within the Copenhagen urban area, known for its green parks, cultural institutions, and residential character.
-
B.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
C.
Farum, Denmark
Farum, Denmark is a suburban town in Furesø Municipality on the island of Zealand, known for its residential character and proximity to Copenhagen.
-
D.
Christiania, Norway
Christiania, Norway was the former name of Oslo, the capital and largest city of Norway.
-
E.
Tønsberg
Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
- 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: Bergen, Denmark Triple: [Bergen, Germany, hasTwinTown, Bergen, Denmark]
Generated description
Bergen, Denmark is a small Danish town known for its rural character and cultural ties to its German twin town, Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergen, Denmark Target entity description: Bergen, Denmark is a small Danish town known for its rural character and cultural ties to its German twin town, Bergen.
-
A.
Frederiksberg, Denmark
Frederiksberg, Denmark is an affluent, centrally located municipality within the Copenhagen urban area, known for its green parks, cultural institutions, and residential character.
-
B.
Billund, Denmark
Billund, Denmark is a small Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
C.
Farum, Denmark
Farum, Denmark is a suburban town in Furesø Municipality on the island of Zealand, known for its residential character and proximity to Copenhagen.
-
D.
Christiania, Norway
Christiania, Norway was the former name of Oslo, the capital and largest city of Norway.
-
E.
Tønsberg
Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6d74888190aab150f1ceb2e9f1 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:48 p.m.