Triple
T28572102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .32 caliber Iver Johnson revolver |
E723139
|
entity |
| Predicate | barrelLengthClass |
P164646
|
FINISHED |
| Object | short barrel |
—
|
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: short barrel | Statement: [.32 caliber Iver Johnson revolver, barrelLengthClass, short barrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelLengthClass Context triple: [.32 caliber Iver Johnson revolver, barrelLengthClass, short barrel]
-
A.
barrelLengthVariants
Indicates that one entity has different versions or configurations distinguished by variations in barrel length.
-
B.
barrelLengthInCalibers
Indicates the length of a barrel expressed as a multiple of its bore diameter (in calibers), describing how many times the bore diameter fits into the barrel length.
-
C.
barrelLengthsAvailable
Indicates that there are one or more barrel length options available for the referenced item or entity.
-
D.
hasBarrelLongerThan
Indicates that one entity’s barrel length is greater than that of another entity.
-
E.
barrelDiameter
Indicates the width of a cylindrical barrel measured across its cross-section.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f650930d088190982ac09775d5b177 |
completed | May 2, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:10 a.m.