Triple
T22725818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CF6-50 |
E561988
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | General Electric Aviation |
—
|
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: General Electric Aviation | Statement: [CF6-50, developer, General Electric Aviation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Electric Aviation Context triple: [CF6-50, developer, General Electric Aviation]
-
A.
GE Aviation
chosen
GE Aviation is a leading aerospace company that designs and manufactures jet engines and related systems for commercial and military aircraft worldwide.
-
B.
Pratt & Whitney
Pratt & Whitney is a major American aerospace manufacturer best known for designing and producing aircraft engines for commercial, military, and general aviation markets.
-
C.
Textron Aviation
Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
-
D.
Boeing
Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
-
E.
Spirit AeroSystems
Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17929710c81909a895622ee32920e |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.