Triple
T21965265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 3 (Stockholm Arlanda Airport) |
E542440
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Swedavia |
—
|
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: Swedavia | Statement: [Terminal 3 (Stockholm Arlanda Airport), operator, Swedavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swedavia Context triple: [Terminal 3 (Stockholm Arlanda Airport), operator, Swedavia]
-
A.
Swedavia
chosen
Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
-
B.
Swedien
Swedien is the surname of Bruce Swedien, the renowned American audio engineer best known for his work on Michael Jackson’s classic albums.
-
C.
Sweden
Sweden is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and long-standing policy of neutrality.
-
D.
Svea
Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
-
E.
Sweden and Finland
Sweden and Finland are two neighboring Nordic countries in Northern Europe known for their advanced welfare systems, high quality of life, and extensive shared border.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.