Triple
T35507040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KAI Surion |
E1026176
|
entity |
| Predicate | fuselageWidth |
P183366
|
FINISHED |
| Object | 2.3 m |
—
|
LITERAL 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: 2.3 m | Statement: [KAI Surion, fuselageWidth, 2.3 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuselageWidth Context triple: [KAI Surion, fuselageWidth, 2.3 m]
-
A.
fuselageLength_m
Indicates the measured length of an aircraft’s fuselage, expressed in meters.
-
B.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
C.
fuselageLengthComparedTo
Indicates how the length of one fuselage compares to the length of another fuselage, typically in terms of being longer, shorter, or equal.
-
D.
fuselageLengthRange
Indicates the range of possible or specified lengths of a fuselage, typically expressed as a minimum and maximum value.
-
E.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
- F. None of above. chosen
Provenance (4 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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.