Triple
T22438884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bond Arms Texas Defender |
E554699
|
entity |
| Predicate | typicalCarryMethod |
P148190
|
FINISHED |
| Object | belt holster |
—
|
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: belt holster | Statement: [Bond Arms Texas Defender, typicalCarryMethod, belt holster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCarryMethod Context triple: [Bond Arms Texas Defender, typicalCarryMethod, belt holster]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
-
C.
carriedTo
Indicates that one entity transported or conveyed another entity from one place to another.
-
D.
cargoAccess
Indicates that an entity has permission or capability to access, enter, or interact with a cargo area or cargo-related contents.
-
E.
vehicleLoadingMethod
Indicates the method or process by which a vehicle is loaded with goods, passengers, or other cargo.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae01bd08190aee5141f4c0848bc |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.