Triple
T4118141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Model 318 White Knight |
E90342
|
entity |
| Predicate | fuselageCount |
P54374
|
FINISHED |
| Object | 2 |
—
|
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 | Statement: [Model 318 White Knight, fuselageCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuselageCount Context triple: [Model 318 White Knight, fuselageCount, 2]
-
A.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
B.
fuselageShape
Indicates the geometric form or contour of an object's fuselage, describing how its main body is shaped.
-
C.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
D.
fleetNumbers
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
-
E.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0245adbc81908b89a40850047975 |
completed | March 9, 2026, 5:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.