Triple
T17687016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordsjællands Hospital |
E440919
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Frederiksværk |
—
|
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: Frederiksværk | Statement: [Nordsjællands Hospital, cityServed, Frederiksværk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederiksværk Context triple: [Nordsjællands Hospital, cityServed, Frederiksværk]
-
A.
Frederiksværk
chosen
Frederiksværk is a Danish town in North Zealand known for its historic industrial heritage and location between the Roskilde Fjord and Arresø lake.
-
B.
Frederiksberg
Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
-
C.
Vollebæk
Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
-
D.
Gladsaxe
Gladsaxe is a municipality in the northern suburbs of Copenhagen, Denmark, known for its residential areas, green spaces, and role as part of the Greater Copenhagen urban region.
-
E.
Hørsholm
Hørsholm is a suburban town in eastern Denmark, located north of Copenhagen in the Capital Region.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470488c4081909b747313ef97b69c |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.