Triple
T17225710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Knight (Scaled Composites Model 318) |
E418107
|
entity |
| Predicate | carriedVehicleMount |
P126461
|
FINISHED |
| Object | center wing pylon |
—
|
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: center wing pylon | Statement: [White Knight (Scaled Composites Model 318), carriedVehicleMount, center wing pylon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedVehicleMount Context triple: [White Knight (Scaled Composites Model 318), carriedVehicleMount, center wing pylon]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
commandedVehicle
Indicates that one entity had authoritative control over or issued orders to another entity that is a vehicle.
-
C.
mountableBy
Indicates that one entity can be physically mounted, ridden, or climbed upon by another entity.
-
D.
mainVehicle
Indicates that one vehicle is the primary or most important vehicle associated with a given entity or context.
-
E.
isRiddenBy
Indicates that an entity serves as a mount or vehicle that is being ridden by another entity.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.