Triple
T19536874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niels Brock Copenhagen Business College |
E488788
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object | Nørrebro |
—
|
NE NERFINISHED |
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: Nørrebro | Statement: [Niels Brock Copenhagen Business College, hasCampusIn, Nørrebro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nørrebro Context triple: [Niels Brock Copenhagen Business College, hasCampusIn, Nørrebro]
-
A.
Nørrebro
chosen
Nørrebro is a vibrant, multicultural district in Copenhagen known for its lively street life, diverse communities, and mix of historic and modern urban culture.
-
B.
Vesterbro
Vesterbro is a vibrant, formerly working-class district of Copenhagen known for its trendy bars, restaurants, and cultural scene.
-
C.
Østerbro district
Østerbro district is a central, affluent neighborhood in Copenhagen, Denmark, known for its waterfront areas, green spaces, and elegant residential streets.
-
D.
Indre By
Indre By is the historic city center of Copenhagen, Denmark, known for its cobblestone streets, canals, and many of the capital’s main cultural and architectural landmarks.
-
E.
Valby
Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386f0fac819081bbc29172c8965e |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.