Triple
T19340548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saanen |
E483742
|
entity |
| Predicate | airportFormerName |
P22570
|
FINISHED |
| Object | Saanen 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: Saanen Airport | Statement: [Saanen, airportFormerName, Saanen Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saanen Airport Context triple: [Saanen, airportFormerName, Saanen Airport]
-
A.
Saanen Airport
chosen
Saanen Airport is a small regional airfield in the Swiss Alps that primarily serves the upscale resort area of Gstaad, handling private and charter flights.
-
B.
Grenchen Airport
Grenchen Airport is a regional Swiss airfield near the town of Grenchen that primarily serves general aviation, flight training, and business aviation.
-
C.
Samedan Airport
Samedan Airport is a high-altitude regional airport in Switzerland serving the Engadin valley and the resort town of St. Moritz, known for its challenging alpine approach.
-
D.
Bern-Belp Airport
Bern-Belp Airport is a small regional airport serving the city of Bern, Switzerland, primarily handling domestic and short-haul European flights.
-
E.
Sion Airport
Sion Airport is a regional airport in the Swiss Alps that serves the town of Sion and nearby ski resorts, handling both civilian and military flights.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61856c0948190a3166b3bf3810e43 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:33 p.m.