Triple
T13203104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PR-15 Ragun |
E314288
|
entity |
| Predicate | hasMagazineType |
P109037
|
FINISHED |
| Object | detachable box 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: detachable box magazine | Statement: [PR-15 Ragun, hasMagazineType, detachable box magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagazineType Context triple: [PR-15 Ragun, hasMagazineType, detachable box magazine]
-
A.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
B.
compatibleMagazines
Indicates that two magazines can be used together or interchangeably without conflict or issues.
-
C.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
D.
hasChamberSize
Indicates a relationship where an entity is associated with, or characterized by, a specific size of a chamber or internal compartment.
-
E.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
- F. None of above. chosen
Provenance (4 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:17 p.m.