Triple
T2320396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beechcraft 1900 |
E51165
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Beechcraft |
E128360
|
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: Beechcraft | Statement: [Beechcraft 1900, manufacturer, Beechcraft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beechcraft Context triple: [Beechcraft 1900, manufacturer, Beechcraft]
-
A.
Beechcraft
chosen
Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility aircraft.
-
B.
Cessna
Cessna is an American aircraft manufacturer best known for producing popular general aviation airplanes, including light single-engine models and utility aircraft.
-
C.
Folland Aircraft
Folland Aircraft was a British aircraft manufacturer best known for producing light fighter and trainer aircraft in the post-World War II era.
-
D.
Beechcraft King Air
The Beechcraft King Air is a family of twin-turboprop utility aircraft widely used around the world for military, government, and civilian transport, training, and special-mission roles.
-
E.
Grob Aircraft
Grob Aircraft is a German aerospace manufacturer known for producing composite training and aerobatic aircraft for civil and military use.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc632474c8190972b4611a3a4ff8f |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96139e688190847bfa872bd08ed4 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.