Triple
T2809183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dieterich Buxtehude |
E54125
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Helsingør |
E270670
|
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: Helsingør | Statement: [Dieterich Buxtehude, workLocation, Helsingør]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helsingør Context triple: [Dieterich Buxtehude, workLocation, Helsingør]
-
A.
Helsingør
chosen
Helsingør is a historic coastal city in eastern Denmark, best known internationally as the setting of Shakespeare’s Hamlet (as Elsinore) and for its prominent Kronborg Castle overlooking the Øresund Strait.
-
B.
Nyborg
Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
-
C.
Svendborg
Svendborg is a historic coastal town and seaport in southern Denmark known for its maritime heritage and location on the island of Funen.
-
D.
Herning
Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
-
E.
Hirtshals
Hirtshals is a Danish coastal town in northern Jutland known for its busy fishing and ferry port on the Skagerrak and its role as a key transport hub between Denmark and Norway.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde3165b48190a43be5e6ad23deca |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d64629481909da4c7b4f6c96c44 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:59 p.m.