Triple
T18846857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Express |
E460938
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | SKY EXPRESS |
—
|
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: SKY EXPRESS | Statement: [Sky Express, callsign, SKY EXPRESS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKY EXPRESS Context triple: [Sky Express, callsign, SKY EXPRESS]
-
A.
Sky Express
chosen
Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
-
B.
ASKY Airlines
ASKY Airlines is a West African regional airline based in Lomé, Togo, operating a network of routes across multiple countries in the region.
-
C.
SkyUp Airlines
SkyUp Airlines is a Ukrainian low-cost carrier known for operating domestic and international flights across Europe, the Middle East, and other regions.
-
D.
SunExpress
SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
-
E.
Edelweiss Air
Edelweiss Air is a Swiss leisure airline based in Zurich that operates holiday and charter flights to vacation destinations worldwide.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8efafdc81909608b8a47deeaa8e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.