Triple
T8189700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VP9 pistol |
E191272
|
entity |
| Predicate | gripFeature |
P81408
|
FINISHED |
| Object | interchangeable backstraps |
—
|
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: interchangeable backstraps | Statement: [VP9 pistol, gripFeature, interchangeable backstraps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gripFeature Context triple: [VP9 pistol, gripFeature, interchangeable backstraps]
-
A.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
B.
hasGripType
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.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of 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_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. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:41 p.m.