Triple
T18794851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SZX |
E459604
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | SF Airlines |
—
|
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: SF Airlines | Statement: [SZX, focusCityFor, SF Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SF Airlines Context triple: [SZX, focusCityFor, SF Airlines]
-
A.
SF Airlines
chosen
SF Airlines is a Chinese cargo airline operated by the courier company SF Express, specializing in domestic and regional air freight services.
-
B.
Spring Airlines
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
-
C.
SouthJet Airlines
SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
-
D.
GX Airlines
GX Airlines is a Chinese regional carrier based in Guangxi that operates domestic and short-haul international flights, primarily serving destinations in southern China and nearby countries.
-
E.
Sunclass Airlines
Sunclass Airlines is a Danish leisure airline that primarily operates charter flights from Scandinavia to popular holiday destinations in Europe and beyond.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01dbb308190bbbbd5a18e26451e |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.