Triple
T6372724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilatus Aircraft |
E143388
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Pilatus |
E143388
|
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: Pilatus | Statement: [Pilatus Aircraft, hasAbbreviation, Pilatus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilatus Context triple: [Pilatus Aircraft, hasAbbreviation, Pilatus]
-
A.
Pilatus Aircraft
chosen
Pilatus Aircraft is a Swiss aerospace manufacturer best known for producing high-performance turboprop training and utility aircraft for military and civilian use.
-
B.
Fairchild-Dornier
Fairchild-Dornier was a German-American aircraft manufacturer formed in the 1990s that focused on regional and business jets before declaring bankruptcy in the early 2000s.
-
C.
Tecnam
Tecnam is an Italian aircraft manufacturer known for producing light sport and general aviation airplanes used worldwide for training, touring, and research.
-
D.
Potez
Potez was a French aircraft manufacturer known for producing military and civil airplanes, particularly in the interwar period and during World War II.
-
E.
Pilatus PC-9
The Pilatus PC-9 is a Swiss-built turboprop training aircraft widely used by military air forces around the world for basic and advanced pilot instruction.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06829d76c819092b476631459233a |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d9203988190a535b4f06f478292 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.