Triple
T10372766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessna |
E244424
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Cessna 172 Skyhawk |
E869615
|
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 172 Skyhawk | Statement: [Cessna, notableModel, Cessna 172 Skyhawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cessna 172 Skyhawk Context triple: [Cessna, notableModel, Cessna 172 Skyhawk]
-
A.
Cessna 172
chosen
The Cessna 172 is a four-seat, single-engine, high-wing light aircraft widely used worldwide for flight training and personal aviation.
-
B.
Cessna 152
The Cessna 152 is a popular two-seat, single-engine light aircraft widely used around the world for pilot training and recreational flying.
-
C.
Cessna 150
The Cessna 150 is a popular two-seat, single-engine light aircraft widely used around the world for flight training and personal flying.
-
D.
Cessna 182
The Cessna 182 is a popular four-seat, single-engine light aircraft known for its reliability, versatility, and use in personal, training, and utility flying.
-
E.
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.
- 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_69de21d85ee08190adfab9926fea1709 |
completed | April 14, 2026, 11:15 a.m. |
Created at: April 6, 2026, 12:02 p.m.