Triple
T12294115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 45 |
E293038
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Learjet 40 |
E838760
|
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: Learjet 40 | Statement: [Learjet 45, hasVariant, Learjet 40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Learjet 40 Context triple: [Learjet 45, hasVariant, Learjet 40]
-
A.
Learjet 40
chosen
The Learjet 40 is a light business jet known for its high cruising speed, efficient performance, and comfortable cabin, widely used for corporate and private air travel.
-
B.
Learjet 45
The Learjet 45 is a mid-size business jet known for its speed, range, and efficient corporate travel capabilities within the Learjet family.
-
C.
Learjet 24
The Learjet 24 is a small, high-performance business jet introduced in the 1960s, known for its speed, range, and role in popularizing modern corporate jet travel.
-
D.
Learjet 70
The Learjet 70 is a light business jet introduced by Bombardier as an updated variant of the Learjet family, featuring modern avionics, improved performance, and a redesigned cabin for corporate and private travel.
-
E.
Learjet 35
The Learjet 35 is a twin-engine American business jet known for its high speed, long range, and widespread use in both civilian and military roles, including transport, training, and medical evacuation.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634667db88190ac1368dc38daac73 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.