Triple
T16120657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FLE |
E391126
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | Flair Airlines |
E91741
|
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: Flair Airlines | Statement: [FLE, assignedTo, Flair Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flair Airlines Context triple: [FLE, assignedTo, Flair Airlines]
-
A.
Flair Airlines
chosen
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
B.
Avior Airlines
Avior Airlines is a Venezuelan airline that operates domestic and international passenger flights, primarily connecting cities within Venezuela to destinations across the Americas.
-
C.
White Airways
White Airways is a Portuguese charter and regional airline that operates flights on behalf of other carriers, including TAP Express.
-
D.
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.
-
E.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20200acac8190a47e6a917ff8dd34 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeef277481908ab35bbff06c827a |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5 a.m.