Triple
T14560847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyhavn Canal |
E341659
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Kongens Nytorv |
E343077
|
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: Kongens Nytorv | Statement: [Nyhavn Canal, connectsTo, Kongens Nytorv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kongens Nytorv Context triple: [Nyhavn Canal, connectsTo, Kongens Nytorv]
-
A.
Kongens Nytorv
chosen
Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
-
B.
Vanløse Torv
Vanløse Torv is a central square and shopping area in the Vanløse district of Copenhagen, Denmark, featuring various retail stores and local services.
-
C.
Sankt Annæ Plads
Sankt Annæ Plads is a historic, tree-lined square and promenade in central Copenhagen, known for its elegant architecture and proximity to the waterfront and royal district.
-
D.
Amagertorv
Amagertorv is a historic public square in central Copenhagen, Denmark, known for its role as a bustling pedestrian hub and its surrounding classical architecture.
-
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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac294748190a4bfeed8c5fd9e94 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.