Triple
T2207028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarpsborg |
E50822
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Naestved |
E272601
|
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: Naestved | Statement: [Sarpsborg, hasTwinTown, Naestved]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naestved Context triple: [Sarpsborg, hasTwinTown, Naestved]
-
A.
Næstved
chosen
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Korsholm
Korsholm is a coastal municipality in western Finland, known for its largely Swedish-speaking population and proximity to the city of Vaasa in the Ostrobothnia region.
-
D.
Holstebro
Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
-
E.
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.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa03c35f48190a4ad11595fea91ae |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 4, 2026, 7:46 p.m.