Triple
T10567786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aabenraa |
E249394
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Aabenraa |
E769658
|
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: Port of Aabenraa | Statement: [Aabenraa, hasPort, Port of Aabenraa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Aabenraa Context triple: [Aabenraa, hasPort, Port of Aabenraa]
-
A.
Port of Aarhus
The Port of Aarhus is Denmark’s largest container port and a major commercial and logistics hub on the country’s east coast.
-
B.
Port of Aalborg
The Port of Aalborg is a major Danish commercial and industrial seaport serving the city of Aalborg and the surrounding North Jutland region.
-
C.
Port of Odense
The Port of Odense is a major Danish commercial and industrial seaport on the island of Funen, known for shipbuilding, offshore wind activities, and maritime logistics.
-
D.
Port of Esbjerg
The Port of Esbjerg is a major Danish North Sea harbor and logistics hub, particularly known as a leading center for offshore wind and energy activities in Europe.
-
E.
Aabenraa harbor
chosen
Aabenraa harbor is a key maritime port in the Danish town of Aabenraa, known for its commercial shipping activities and role in the region’s coastal trade.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b42879481909f9c98b2579c10a1 |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:36 p.m.