Triple
T12411076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayseri Erkilet Airport |
E296513
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | SunExpress |
E285094
|
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: SunExpress | Statement: [Kayseri Erkilet Airport, usedBy, SunExpress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SunExpress Context triple: [Kayseri Erkilet Airport, usedBy, SunExpress]
-
A.
SunExpress
chosen
SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
-
B.
Batik Air
Batik Air is an Indonesian full-service airline operating domestic and regional flights as part of the Lion Air Group.
-
C.
Crossair
Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
-
D.
Virgin Express
Virgin Express was a Belgian low-cost airline that operated primarily from Brussels in the 1990s and early 2000s before being merged into Brussels Airlines.
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.