Triple
T4741876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drammen |
E105261
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Drammen |
E98767
|
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 Drammen | Statement: [Drammen, hasPort, Port of Drammen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Drammen Context triple: [Drammen, hasPort, Port of Drammen]
-
A.
Port of Drammen
chosen
The Port of Drammen is a key Norwegian seaport and logistics hub known especially for handling car imports and other cargo for the Oslofjord region.
-
B.
Port of Oslo
The Port of Oslo is Norway’s largest and busiest seaport, serving as a key hub for passenger ferries, cargo traffic, and maritime trade in the Oslofjord region.
-
C.
Port of Fredrikstad
Port of Fredrikstad is a Norwegian maritime cargo and logistics hub located in the city of Fredrikstad, serving as an important gateway for regional trade and shipping.
-
D.
Port of Mo i Rana
The Port of Mo i Rana is an important industrial and cargo seaport in northern Norway, serving as a key hub for regional maritime trade and logistics.
-
E.
Port of Bergen
The Port of Bergen is one of Norway’s busiest and historically significant seaports, serving as a major hub for maritime trade, passenger traffic, and cruise tourism on the country’s western coast.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a28ca648190a44d178826926812 |
completed | March 21, 2026, 6:26 a.m. |
Created at: March 20, 2026, 1:19 p.m.