Triple
T5789676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beechcraft |
E128360
|
entity |
| Predicate | mergedWith |
P77
|
FINISHED |
| Object | Cessna |
E244424
|
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 | Statement: [Beechcraft, mergedWith, Cessna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cessna Context triple: [Beechcraft, mergedWith, Cessna]
-
A.
Cessna
chosen
Cessna is an American aircraft manufacturer best known for producing popular general aviation airplanes, including light single-engine models and utility aircraft.
-
B.
Beechcraft
Beechcraft is an American aircraft manufacturer known for producing a wide range of civil and military airplanes, including popular training, business, and utility aircraft.
-
C.
Piper Aircraft
Piper Aircraft is an American general aviation manufacturer best known for producing a wide range of popular light aircraft for personal, training, and business use.
-
D.
Beechcraft Bonanza
The Beechcraft Bonanza is a long-running, high-performance single-engine general aviation aircraft renowned for its distinctive V-tail (in early models) and popularity among private pilots.
-
E.
Cessna 402
The Cessna 402 is a twin-engine light aircraft commonly used for regional commuter, air taxi, and cargo operations due to its reliability and ability to serve short-haul routes.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17582f48190af88b000ced8b7b5 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:51 p.m.