Triple
T4581677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarhus |
E101867
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Aarhus Airport
Aarhus Airport is a regional international airport serving the city of Aarhus and the surrounding area in eastern Jutland, Denmark.
|
E454517
|
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: Aarhus Airport | Statement: [Aarhus, hasAirport, Aarhus Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarhus Airport Context triple: [Aarhus, hasAirport, Aarhus Airport]
-
A.
Aalborg Airport
Aalborg Airport is an international airport in northern Denmark serving the city of Aalborg and the surrounding region with domestic and European flights.
-
B.
Copenhagen Airport Kastrup
Copenhagen Airport Kastrup is Denmark’s largest and busiest international airport, serving as the main air hub for Copenhagen and much of Scandinavia.
-
C.
Vadsø Airport
Vadsø Airport is a small regional airport in Vadsø, Norway, providing domestic air connections within the northern part of the country.
-
D.
Torslanda Airport
Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
-
E.
Bern Airport
Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international flights.
- 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: Aarhus Airport Triple: [Aarhus, hasAirport, Aarhus Airport]
Generated description
Aarhus Airport is a regional international airport serving the city of Aarhus and the surrounding area in eastern Jutland, Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aarhus Airport Target entity description: Aarhus Airport is a regional international airport serving the city of Aarhus and the surrounding area in eastern Jutland, Denmark.
-
A.
Aalborg Airport
Aalborg Airport is an international airport in northern Denmark serving the city of Aalborg and the surrounding region with domestic and European flights.
-
B.
Copenhagen Airport Kastrup
Copenhagen Airport Kastrup is Denmark’s largest and busiest international airport, serving as the main air hub for Copenhagen and much of Scandinavia.
-
C.
Vadsø Airport
Vadsø Airport is a small regional airport in Vadsø, Norway, providing domestic air connections within the northern part of the country.
-
D.
Torslanda Airport
Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
-
E.
Bern Airport
Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international flights.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590116e88190b8495b2a78cf3fb6 |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde09015c48190b4f992f3f95023cf |
completed | March 21, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69bde15983cc81909f188e17ca8f2f0b |
completed | March 21, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde1fff7d08190ac2061a9c43d34d7 |
completed | March 21, 2026, 12:10 a.m. |
Created at: March 20, 2026, 1:10 p.m.