Triple
T15355428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billund |
E367160
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Billund Airport |
E669306
|
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: Billund Airport | Statement: [Billund, hasAirport, Billund Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billund Airport Context triple: [Billund, hasAirport, Billund Airport]
-
A.
Billund Airport
chosen
Billund Airport is an international airport in central Jutland, Denmark, serving as a major gateway for both passenger travel and cargo, and providing access to attractions such as LEGOLAND Billund.
-
B.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
C.
Sturup Airport
Sturup Airport is the former name of Malmö Airport, an international airport serving the Malmö region in southern Sweden.
-
D.
Bornholm Airport
Bornholm Airport is the main regional airport serving the Danish island of Bornholm, providing domestic and limited international connections.
-
E.
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.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6991148190b522684b35c07b1a |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.