Triple
T4321861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM Kappa platform |
E96534
|
entity |
| Predicate | primaryBodyConstruction |
P50920
|
FINISHED |
| Object | unibody |
—
|
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: unibody | Statement: [GM Kappa platform, primaryBodyConstruction, unibody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBodyConstruction Context triple: [GM Kappa platform, primaryBodyConstruction, unibody]
-
A.
primaryBody
Indicates that one entity serves as the main or principal body associated with another entity.
-
B.
primaryBuilder
Indicates that the subject is the main or lead entity responsible for constructing or creating the object.
-
C.
primaryBodyType
chosen
Indicates the main physical form or category that characterizes an entity’s overall body structure or composition.
-
D.
bodyBuild
Indicates the physical build or body type that characterizes an entity.
-
E.
createdByConstructionOf
Indicates that something comes into existence as a result of a construction process or building activity performed by an agent.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3511608dc8190afe912aa605ecace |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.