Triple
T10372751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessna |
E244424
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Cessna Citation XLS |
E859110
|
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: Cessna Citation XLS | Statement: [Cessna, hasModel, Cessna Citation XLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cessna Citation XLS Context triple: [Cessna, hasModel, Cessna Citation XLS]
-
A.
Cessna Citation X
The Cessna Citation X is a long-range, high-speed business jet renowned for being one of the fastest civilian aircraft ever produced.
-
B.
Cessna Citation Excel
chosen
The Cessna Citation Excel is a popular midsize business jet known for its comfortable stand-up cabin, short-runway performance, and efficient operating costs.
-
C.
Cessna Citation Ultra
The Cessna Citation Ultra is a light business jet introduced in the 1990s, known for its upgraded engines, improved avionics, and enhanced performance over earlier Citation V models.
-
D.
Cessna Citation Encore
The Cessna Citation Encore is a light business jet known for its improved range, payload, and runway performance within Cessna’s popular Citation family.
-
E.
Learjet 40
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.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94af4ee6881909a36ee1a06a9d3e2 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 12:02 p.m.