Triple
T22237487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian North |
E549628
|
entity |
| Predicate | merger |
P77
|
FINISHED |
| Object | First Air |
—
|
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: First Air | Statement: [Canadian North, merger, First Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First Air Context triple: [Canadian North, merger, First Air]
-
A.
First Air
chosen
First Air is a Canadian airline that primarily serves remote and northern communities, especially in Nunavut and the Arctic regions.
-
B.
West Air
West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
-
C.
Eastern Airways
Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
-
D.
Northern Air
Northern Air is a regional airline based in Fiji that operates domestic flights connecting smaller islands and remote communities.
-
E.
Nordair
Nordair was a former Canadian regional airline that operated passenger and cargo services, particularly in northern and remote areas, before being absorbed into larger national carriers.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.