Triple
T28310317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HK21 |
E713974
|
entity |
| Predicate | chamberingOptions |
P9006
|
FINISHED |
| Object | 7.62×51mm NATO |
—
|
NE NERFINISHED |
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: 7.62×51mm NATO | Statement: [HK21, chamberingOptions, 7.62×51mm NATO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberingOptions Context triple: [HK21, chamberingOptions, 7.62×51mm NATO]
-
A.
chamberingNote
Indicates that there is a specific note or annotation associated with the process or state of chambering (e.g., loading or positioning) an item, typically a round, into a chamber.
-
B.
chamberedFor
chosen
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
C.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
D.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
E.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 11:40 p.m.