Triple
T22439135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .38 Special |
E554705
|
entity |
| Predicate | canBeFiredIn |
P148198
|
FINISHED |
| Object | .357 Magnum revolvers |
—
|
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: .357 Magnum revolvers | Statement: [.38 Special, canBeFiredIn, .357 Magnum revolvers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeFiredIn Context triple: [.38 Special, canBeFiredIn, .357 Magnum revolvers]
-
A.
designedToFire
Indicates that one entity is intended or configured to discharge, launch, or emit another entity (such as a projectile, signal, or event).
-
B.
triggeredFires
Indicates that one entity caused or initiated the occurrence of one or more fires in another entity or location.
-
C.
firedBy
Indicates that one entity has dismissed or terminated another entity from a position, role, or employment.
-
D.
hasFireEvent
Indicates that a fire-related incident or occurrence is associated with, or has taken place involving, a given entity.
-
E.
isSelectiveFire
Indicates that a firearm is capable of operating in multiple firing modes (such as semi-automatic and fully automatic) selectable by the user.
- 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.