Triple
T19481431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matten bei Interlaken |
E487392
|
entity |
| Predicate | hasAirportNearby |
P4363
|
FINISHED |
| Object | Bern Airport |
—
|
NE NERFINISHED |
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: Bern Airport | Statement: [Matten bei Interlaken, hasAirportNearby, Bern Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bern Airport Context triple: [Matten bei Interlaken, hasAirportNearby, Bern Airport]
-
A.
Bern Airport
chosen
Bern Airport is a small regional airport in Switzerland serving the city of Bern and offering domestic and limited international 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.
Hans Christian Andersen Airport
Hans Christian Andersen Airport is a regional airport serving the city of Odense on the island of Funen in Denmark.
-
D.
Midtjyllands Airport
Midtjyllands Airport is a regional airport in central Jutland, Denmark, serving domestic and limited international flights for the surrounding Midtjylland area.
-
E.
Bost Airport
Bost Airport is a regional airport serving the city of Lashkargah in Helmand Province, Afghanistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e634393b8081909f5e4c38b2f1a9b7 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.