Triple
T15858125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C96 pistol |
E384512
|
entity |
| Predicate | variantMagazineCapacity |
P25151
|
FINISHED |
| Object | 6 rounds |
—
|
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: 6 rounds | Statement: [C96 pistol, variantMagazineCapacity, 6 rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variantMagazineCapacity Context triple: [C96 pistol, variantMagazineCapacity, 6 rounds]
-
A.
compatibleMagazines
Indicates that two magazines can be used together or interchangeably without conflict or issues.
-
B.
ammunitionCapacity
chosen
Indicates the maximum amount of ammunition that something (typically a weapon or container) is designed to hold at one time.
-
C.
hasMagazineType
Indicates that an entity is associated with, or classified by, a specific type or category of magazine.
-
D.
aircraftMagazineCapacity
Indicates the maximum number of rounds or munitions an aircraft’s weapon magazine can hold.
-
E.
armamentCapacity
Indicates the maximum quantity or type of weapons or munitions that something is designed or allowed to carry.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.