Triple
T14055781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copenhagen City Hall Square |
E338215
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object |
Strøget
Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
|
E1078961
|
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: Strøget | Statement: [Copenhagen City Hall Square, hasNearbyStreet, Strøget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strøget Context triple: [Copenhagen City Hall Square, hasNearbyStreet, Strøget]
-
A.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
B.
Strynø
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
-
C.
Frederikssund
Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
-
D.
Sprogø
Sprogø is a small Danish island in the Great Belt known for its strategic location and role as a central support point for the Great Belt Bridge connecting Zealand and Funen.
-
E.
Bogesund
Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
- 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: Strøget Triple: [Copenhagen City Hall Square, hasNearbyStreet, Strøget]
Generated description
Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strøget Target entity description: Strøget is one of Europe's longest and oldest pedestrian shopping streets, located in the historic center of Copenhagen, Denmark.
-
A.
Strømsø
Strømsø is a historic district and former separate town that now forms part of the city of Drammen in Norway.
-
B.
Strynø
Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
-
C.
Frederikssund
Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
-
D.
Sprogø
Sprogø is a small Danish island in the Great Belt known for its strategic location and role as a central support point for the Great Belt Bridge connecting Zealand and Funen.
-
E.
Bogesund
Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
- 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_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_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc91405888190ba808b2051f57f19 |
completed | May 7, 2026, 5:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc9be3f448190b2edd96c4159f923 |
completed | May 7, 2026, 5:19 p.m. |
Created at: April 9, 2026, 10:20 p.m.