Triple
T17671883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Airport |
E440538
|
entity |
| Predicate | hasAirlineService |
P12356
|
FINISHED |
| Object | FlySafair |
—
|
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: FlySafair | Statement: [George Airport, hasAirlineService, FlySafair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FlySafair Context triple: [George Airport, hasAirlineService, FlySafair]
-
A.
FlySafair
chosen
FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
-
B.
AirSial
AirSial is a Pakistani airline that operates domestic flights, including services to destinations such as Skardu.
-
C.
Jetairfly
Jetairfly was the former brand name of TUI fly Belgium, a Belgian leisure airline operating charter and scheduled flights to holiday destinations across Europe and beyond.
-
D.
flydubai
flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
-
E.
SunExpress
SunExpress is a Turkish-German leisure airline that primarily operates holiday and charter flights, especially to and from Turkey and popular European destinations.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f69b11c8190b09add33f81776b3 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 9:59 a.m.