Triple
T3496503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øresund Region |
E73863
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Roskilde |
E268221
|
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: Roskilde | Statement: [Øresund Region, majorCity, Roskilde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roskilde Context triple: [Øresund Region, majorCity, Roskilde]
-
A.
Roskilde
chosen
Roskilde is a historic Danish city on the island of Zealand, known for its medieval cathedral and the annual Roskilde music festival.
-
B.
Haderslev
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
-
C.
Helsingør
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.
-
D.
Nyborg
Nyborg is a historic coastal town and former royal seat in central Denmark, located on the island of Funen.
-
E.
Odense
Odense is a historic Danish city on the island of Funen, best known as the birthplace of fairy-tale author Hans Christian Andersen and a cultural hub with museums, festivals, and a vibrant literary heritage.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd16c0081908f13535f459618d1 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432f6104c8190a7b820531b32bc6e |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:18 p.m.