Triple
T22439125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .38 Special |
E554705
|
entity |
| Predicate | typicalBulletWeight |
P107501
|
FINISHED |
| Object | 110 grains |
—
|
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: 110 grains | Statement: [.38 Special, typicalBulletWeight, 110 grains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBulletWeight Context triple: [.38 Special, typicalBulletWeight, 110 grains]
-
A.
standardBulletWeight
chosen
Indicates the typical or commonly accepted mass of a given type of bullet under standard specifications.
-
B.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
C.
munitionWeightCategory
Indicates the classification of a munition based on its weight range or weight-related category.
-
D.
typicalRifleWeightLimit
Indicates the maximum weight that is generally considered standard or acceptable for a typical rifle.
-
E.
typicalMuzzleEnergy
Indicates the usual or characteristic amount of muzzle energy associated with a given weapon or ammunition type.
- 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_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. |
Created at: April 16, 2026, 8:47 p.m.