Triple
T8189714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VP9 pistol |
E191272
|
entity |
| Predicate | gripDesign |
P24443
|
FINISHED |
| Object | ergonomic |
—
|
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: ergonomic | Statement: [VP9 pistol, gripDesign, ergonomic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gripDesign Context triple: [VP9 pistol, gripDesign, ergonomic]
-
A.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
B.
hasGripType
chosen
Indicates that one entity possesses or uses a specific type or style of grip in relation to another entity or action.
-
C.
gripPatternsCount
Indicates the number of distinct grip patterns associated with or used in relation to an entity.
-
D.
handguardFeature
Indicates that an item possesses a specific characteristic, design element, or functional attribute related to its handguard component.
-
E.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da0e1288190b9c7c1d3b9a98830 |
completed | March 31, 2026, 4:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:41 p.m.