Triple
T4959933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedavia |
E111378
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Luleå Airport |
E520227
|
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: Luleå Airport | Statement: [Swedavia, operates, Luleå Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luleå Airport Context triple: [Swedavia, operates, Luleå Airport]
-
A.
Luleå Airport
chosen
Luleå Airport is a major civilian and military airport in northern Sweden serving the city of Luleå and the wider Norrbotten region.
-
B.
Torslanda Airport
Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
-
C.
Landvetter Airport
Landvetter Airport is an international airport serving the Gothenburg region in western Sweden and is one of the country’s major aviation hubs.
-
D.
Jönköping Airport
Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
-
E.
Kemi-Tornio Airport
Kemi-Tornio Airport is a regional airport in Finnish Lapland serving the twin towns of Kemi and Tornio, providing domestic connections and access to the northern Arctic area.
- 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_69bf486d43488190b57e064b0272ece4 |
completed | March 22, 2026, 1:39 a.m. |
Created at: March 20, 2026, 1:32 p.m.