Triple
T6618523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa Airlines |
E149616
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | AIR SHUTTLE |
E119299
|
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: AIR SHUTTLE | Statement: [Mesa Airlines, callsign, AIR SHUTTLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIR SHUTTLE Context triple: [Mesa Airlines, callsign, AIR SHUTTLE]
-
A.
AIR SHUTTLE
chosen
AIR SHUTTLE is the radio callsign historically used by Mesa Airlines for its regional passenger flight operations in the United States.
-
B.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
-
C.
Airlink
Airlink is a South African regional airline that operates scheduled passenger services connecting smaller cities and remote destinations with major hubs in Southern Africa.
-
D.
Sky Express
Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
-
E.
Smartavia
Smartavia is a Russian low-cost airline that operates domestic and regional flights, using Moscow Domodedovo International Airport as one of its main bases.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.