Triple
T9847769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet |
E239385
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Learjet 35 |
E59179
|
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 35 | Statement: [Learjet, product, Learjet 35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Learjet 35 Context triple: [Learjet, product, Learjet 35]
-
A.
Learjet 35
chosen
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.
-
B.
Learjet 31
The Learjet 31 is a light business jet known for its high speed, long-range performance, and efficient corporate travel capabilities.
-
C.
Learjet 25
The Learjet 25 is a twin-engine business jet introduced in the late 1960s, known for its high speed, long-range performance, and popularity in corporate and charter aviation.
-
D.
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.
-
E.
Learjet 29
The Learjet 29 is a variant of the early Learjet business jets, designed as a small, high-speed corporate aircraft known for its performance and efficiency.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb362d81081908f41cc25baca5fda |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269b54d04819096ddc9f16a6db17b |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:34 p.m.