Triple
T7488523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Jutland |
E176943
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Aarhus Airport |
E454517
|
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: Aarhus Airport | Statement: [East Jutland, hasAirport, Aarhus Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarhus Airport Context triple: [East Jutland, hasAirport, Aarhus Airport]
-
A.
Aarhus Airport
chosen
Aarhus Airport is a regional international airport serving the city of Aarhus and the surrounding area in eastern Jutland, Denmark.
-
B.
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.
-
C.
Esbjerg Airport
Esbjerg Airport is a regional airport in western Denmark that primarily serves domestic flights and offshore oil and gas industry traffic in the North Sea.
-
D.
Bornholm Airport
Bornholm Airport is the main regional airport serving the Danish island of Bornholm, providing domestic and limited international connections.
-
E.
Hans Christian Andersen Airport
Hans Christian Andersen Airport is a regional airport serving the city of Odense on the island of Funen in Denmark.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55965ac81909d3c3a5422b22d44 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c71f5748190bdda4cf9b8dfc6ea |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:43 p.m.