Triple
T20498762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värtahamnen |
E503245
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Port of Stockholm |
—
|
NE NERFINISHED |
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 Stockholm | Statement: [Värtahamnen, partOf, Port of Stockholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Stockholm Context triple: [Värtahamnen, partOf, Port of Stockholm]
-
A.
Port of Stockholm
chosen
The Port of Stockholm is a major Swedish seaport complex that serves as a key hub for passenger ferries, cruise ships, and cargo traffic in the Baltic Sea region.
-
B.
Port of Oxelösund
The Port of Oxelösund is a major Swedish Baltic Sea port known for its deep-water facilities and significant role in handling bulk cargo, particularly for the steel industry.
-
C.
Port of Gothenburg
The Port of Gothenburg is Scandinavia’s largest seaport and a major logistics hub for Swedish international trade.
-
D.
Port of Malmö
The Port of Malmö is a major Swedish seaport on the Øresund Strait that handles cargo, passenger traffic, and regional maritime trade for the city of Malmö.
-
E.
Port of Halmstad
The Port of Halmstad is a commercial seaport in Halmstad, Sweden, handling cargo, logistics, and maritime traffic along the country’s west coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.