Triple
T28310036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG4 |
E713968
|
entity |
| Predicate | intendedMount |
P57768
|
FINISHED |
| Object | vehicle mount capable |
—
|
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: vehicle mount capable | Statement: [MG4, intendedMount, vehicle mount capable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMount Context triple: [MG4, intendedMount, vehicle mount capable]
-
A.
mountingLocation
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
B.
trainMounting
Indicates a relationship where an entity is boarding or getting onto a train.
-
C.
mountingInterface
chosen
Indicates that one entity serves as the surface, structure, or connection point onto which another entity is mounted or attached.
-
D.
mountOf
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
-
E.
intendedInstallation
Indicates that one entity is meant or planned to be installed in, on, or as part of another entity or environment.
- F. None of above.
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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 11:40 p.m.