Triple
T4959936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedavia |
E111378
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Åre Östersund Airport |
E199663
|
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: Åre Östersund Airport | Statement: [Swedavia, owns, Åre Östersund Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åre Östersund Airport Context triple: [Swedavia, owns, Åre Östersund Airport]
-
A.
Åre Östersund Airport
chosen
Åre Östersund Airport is a regional airport in central Sweden serving the city of Östersund and the nearby Åre ski resort, providing both domestic and seasonal international flights.
-
B.
Luleå Airport
Luleå Airport is a major civilian and military airport in northern Sweden serving the city of Luleå and the wider Norrbotten region.
-
C.
Jönköping Airport
Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
-
D.
Umeå Airport
Umeå Airport is a regional airport in northern Sweden serving the city of Umeå with domestic and limited international flights.
-
E.
Linköping City Airport
Linköping City Airport is a regional airport in Linköping, Sweden, serving both commercial passenger flights and general aviation.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71da80008190a0d606d5091822b8 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77a49ddc819082fdfe7389b0d8a1 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 20, 2026, 1:32 p.m.