Triple
T3145568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västra Götaland County |
E65754
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Port of Gothenburg |
E102624
|
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 Gothenburg | Statement: [Västra Götaland County, hasMajorPort, Port of Gothenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Gothenburg Context triple: [Västra Götaland County, hasMajorPort, Port of Gothenburg]
-
A.
Port of Gothenburg
chosen
The Port of Gothenburg is Scandinavia’s largest seaport and a major logistics hub for Swedish international trade.
-
B.
Port of Stockholm
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.
-
C.
Port of Gävle
The Port of Gävle is a major Swedish seaport on the Baltic Sea that serves as an important hub for regional trade, cargo handling, and maritime transport.
-
D.
Port of Helsinki
The Port of Helsinki is Finland’s busiest seaport and a major passenger and cargo hub in the Baltic Sea region.
-
E.
Port of Copenhagen
The Port of Copenhagen is a major Danish seaport serving as a key hub for maritime trade, passenger ferries, and cruise traffic in the Baltic Sea region.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.