Triple
T14056184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederiksgade |
E338224
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Bredgade |
E1080607
|
NE FINISHED |
How this triple was built (2 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: Bredgade | Statement: [Frederiksgade, connectsTo, Bredgade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bredgade Context triple: [Frederiksgade, connectsTo, Bredgade]
-
A.
Bredgade
chosen
Bredgade is a prominent street in central Copenhagen known for its historic architecture, art galleries, and proximity to major cultural and political institutions.
-
B.
Vesterbrogade
Vesterbrogade is one of Copenhagen’s main thoroughfares, known for its shops, cafés, and historic buildings leading from the city center into the Vesterbro district.
-
C.
Nørrebrogade
Nørrebrogade is a major thoroughfare in Copenhagen’s Nørrebro district, known for its dense urban life, shops, cafés, and cultural landmarks.
-
D.
Frederiksgade
Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
-
E.
Købmagergade
Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7da9414819094d81e5a6ac9fbf9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:20 p.m.