Triple
T28310486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG36 |
E713978
|
entity |
| Predicate | compatibleMagazine |
P101844
|
FINISHED |
| Object | 30-round G36 magazine |
—
|
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: 30-round G36 magazine | Statement: [MG36, compatibleMagazine, 30-round G36 magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibleMagazine Context triple: [MG36, compatibleMagazine, 30-round G36 magazine]
-
A.
compatibleMagazines
chosen
Indicates that two magazines can be used together or interchangeably without conflict or issues.
-
B.
hasMagazine
Indicates that one entity possesses, contains, or is equipped with a magazine (such as a periodical or an ammunition magazine).
-
C.
hasMagazineType
Indicates that an entity is associated with, or classified by, a specific type or category of magazine.
-
D.
cartridgeCaseType
Indicates the specific type or classification of a cartridge case associated with an item or entity.
-
E.
hasChamberSize
Indicates a relationship where an entity is associated with, or characterized by, a specific size of a chamber or internal compartment.
- 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_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 11:40 p.m.