Triple
T16515060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DR Koncerthuset |
E401160
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | DR Byen |
E1121557
|
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: DR Byen | Statement: [DR Koncerthuset, partOf, DR Byen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DR Byen Context triple: [DR Koncerthuset, partOf, DR Byen]
-
A.
DR Byen
chosen
DR Byen is the headquarters and main production complex of the Danish Broadcasting Corporation in Copenhagen, known for its modern architecture and major media facilities.
-
B.
Inderhavnen
Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
-
C.
Koldingen
Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
-
D.
Rødby
Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
-
E.
Ryggebyen
Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7bbfa481909037148cdb4d8996 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a59eb48190901ba7907c09639d |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.