Triple
T8073513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region Nordjylland |
E188433
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Skagen |
E643713
|
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: Skagen | Statement: [Region Nordjylland, hasMajorPort, Skagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skagen Context triple: [Region Nordjylland, hasMajorPort, Skagen]
-
A.
Skagen
Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
-
B.
Skagen
chosen
Skagen is Denmark’s northernmost town, renowned for its picturesque fishing harbor, distinctive yellow houses, and the scenic meeting point of the North Sea and Baltic Sea.
-
C.
Swatch
Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
-
D.
Daniel Wellington
Daniel Wellington is a Swedish watch brand known for its minimalist, fashion-oriented timepieces with interchangeable NATO and leather straps.
-
E.
Tissot
Tissot is a Swiss watchmaker renowned for its affordable yet high-quality timepieces and long heritage in traditional and sports-oriented horology.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93e568388190a518baa0badefea4 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:27 p.m.