Triple
T4688751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm Arlanda Airport |
E103982
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Swedavia |
E111378
|
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: Swedavia | Statement: [Stockholm Arlanda Airport, owner, Swedavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swedavia Context triple: [Stockholm Arlanda Airport, owner, Swedavia]
-
A.
Swedavia
chosen
Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
-
B.
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.
-
C.
Gustafs, Sweden
Gustafs is a small locality in Dalarna County, central Sweden, known as a rural community within the municipality of Säter.
-
D.
Nordavia
Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
-
E.
Svealand
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6399621881909aa8ffb1c27284e9 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105a709c819083504fe1dc1612d8 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.