Triple
T889182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland General Assembly |
E19199
|
entity |
| Predicate | hasChamberCount |
P1545
|
FINISHED |
| Object | 2 |
—
|
LITERAL GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberCount Context triple: [Maryland General Assembly, hasChamberCount, 2]
-
A.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
B.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
C.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
D.
hasChamberAbove
Indicates that one chamber is positioned vertically above another chamber in a spatial or structural arrangement.
-
E.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
- F. None of above.
Provenance (2 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9227ec8190a726456fc77c3ebb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.