Triple
T17651957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calm Air |
E429512
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | CALM 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: CALM AIR | Statement: [Calm Air, callsign, CALM AIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CALM AIR Context triple: [Calm Air, callsign, CALM AIR]
-
A.
Calm Air
chosen
Calm Air is a Canadian regional airline based in Manitoba that primarily serves remote communities in northern Manitoba and Nunavut.
-
B.
The Calm
"The Calm" is a reflective, introspective track by Drake from his breakthrough mixtape *So Far Gone*, known for its moody production and confessional lyrics.
-
C.
Calm Down
"Calm Down" is a globally popular Afrobeats song by Nigerian singer Rema, known for its catchy melody and successful remix featuring Selena Gomez.
-
D.
Calm Down
"Calm Down" is a hip-hop track by American rapper G-Eazy known for its braggadocious lyrics and energetic, minimalist production.
-
E.
Cool’n’Quiet
Cool’n’Quiet is an AMD power-saving and noise-reduction technology that dynamically adjusts a processor’s clock speed and voltage to reduce heat and fan noise during low-demand operation.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3e0ae481908382570f802d8144 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.