Triple
T875059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm Arlanda Airport |
E18898
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Swedavia
Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
|
E111378
|
NE FINISHED |
How this triple was built (4 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, operator, Swedavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swedavia Context triple: [Stockholm Arlanda Airport, operator, Swedavia]
-
A.
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.
-
B.
Svealand
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
-
C.
Uppland
Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
-
D.
Scandinavium
Scandinavium is a major indoor arena in Gothenburg, Sweden, best known for hosting top-level ice hockey, concerts, and international sporting events.
-
E.
Finland
Finland is a Nordic country in Northern Europe known for its extensive forests and lakes, high standard of living, strong welfare state, and history that includes fighting in World War II and maintaining a policy of military non-alignment during the Cold War.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Swedavia Triple: [Stockholm Arlanda Airport, operator, Swedavia]
Generated description
Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swedavia Target entity description: Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
-
A.
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.
-
B.
Svealand
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
-
C.
Uppland
Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
-
D.
Scandinavium
Scandinavium is a major indoor arena in Gothenburg, Sweden, best known for hosting top-level ice hockey, concerts, and international sporting events.
-
E.
Finland
Finland is a Nordic country in Northern Europe known for its extensive forests and lakes, high standard of living, strong welfare state, and history that includes fighting in World War II and maintaining a policy of military non-alignment during the Cold War.
- F. None of above. chosen
Provenance (5 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826d10188819085413db5a7f6bd11 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a85e2ed0a081908af18feccc669772 |
completed | March 4, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a85ef9bed48190991ab9048dba4678 |
completed | March 4, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:39 p.m.