Triple
T8309989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region of Southern Denmark |
E194566
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Billund
Billund is a Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
|
E725078
|
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: Billund | Statement: [Region of Southern Denmark, containsCity, Billund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billund Context triple: [Region of Southern Denmark, containsCity, Billund]
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Padborg
Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
-
C.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
-
D.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
-
E.
Haderslev
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative 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: Billund Triple: [Region of Southern Denmark, containsCity, Billund]
Generated description
Billund is a Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billund Target entity description: Billund is a Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Padborg
Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
-
C.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
-
D.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
-
E.
Haderslev
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95665390819089c8becad018cf51 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cda62070888190b55b3f54d29e28e7 |
completed | April 1, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb21a65d88190a19dd41f95d173c8 |
completed | April 2, 2026, 12:02 a.m. |
Created at: March 30, 2026, 5:54 p.m.