Triple
T28438277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C8A2 |
E715632
|
entity |
| Predicate | ergonomicFeatures |
P25458
|
FINISHED |
| Object | improved pistol grip |
—
|
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: improved pistol grip | Statement: [C8A2, ergonomicFeatures, improved pistol grip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ergonomicFeatures Context triple: [C8A2, ergonomicFeatures, improved pistol grip]
-
A.
hasErgonomicType
Indicates that an object or product is associated with a specific ergonomic classification or design type.
-
B.
toolMorphology
Indicates a relationship where one entity’s form, structure, or physical configuration functions as or defines it as a tool for another entity or purpose.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
equipmentCharacteristic
chosen
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
-
E.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e3bfcf481909759bc5f2a077fde |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:44 a.m.