Triple
T7758657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slotsholmen |
E175961
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object |
Højbro
Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
|
E686970
|
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: Højbro | Statement: [Slotsholmen, crossedBy, Højbro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Højbro Context triple: [Slotsholmen, crossedBy, Højbro]
-
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.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
C.
Brønderslev
Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
-
D.
Knudshoved
Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
-
E.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
- 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: Højbro Triple: [Slotsholmen, crossedBy, Højbro]
Generated description
Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Højbro Target entity description: Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
-
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.
Bragernes
Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
-
C.
Brønderslev
Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
-
D.
Knudshoved
Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
-
E.
Møllehøj
Møllehøj is the highest natural point in Denmark, located in the hilly region of eastern Jutland.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8a18860819081a88f80544db83d |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c900a28c819097449e8ceb373718 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:09 p.m.