Triple
T5940096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Town International Airport |
E132144
|
entity |
| Predicate | hasHubAirline |
P423
|
FINISHED |
| Object | CemAir |
E459947
|
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: CemAir | Statement: [Cape Town International Airport, hasHubAirline, CemAir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CemAir Context triple: [Cape Town International Airport, hasHubAirline, CemAir]
-
A.
CemAir
chosen
CemAir is a South African regional and domestic airline operating scheduled and charter flights to various destinations within South Africa and neighboring countries.
-
B.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
C.
CEMO
CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
-
D.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
E.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038f101c081908fb530d2f1f358fc |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0748c888190b41326eddc76db62 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.