Triple
T9660139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZSSS |
E233567
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Spring Airlines |
E280614
|
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: Spring Airlines | Statement: [ZSSS, usedBy, Spring Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Airlines Context triple: [ZSSS, usedBy, Spring Airlines]
-
A.
Spring Airlines
chosen
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
-
B.
SouthJet Airlines
SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
-
C.
Azimuth Airlines
Azimuth Airlines is a Russian regional airline based in Rostov-on-Don, known for operating domestic and short-haul international routes primarily using Sukhoi Superjet 100 aircraft.
-
D.
Kel Air
Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
-
E.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c08d0d0819086426ad6891b18db |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a0b84a0819083191beeaf8d968b |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.