Triple
T19633991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beretta APX |
E471341
|
entity |
| Predicate | magazineRelease |
P136771
|
FINISHED |
| Object | reversible |
—
|
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: reversible | Statement: [Beretta APX, magazineRelease, reversible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magazineRelease Context triple: [Beretta APX, magazineRelease, reversible]
-
A.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
B.
magazineIssueNumber
Indicates the specific issue number assigned to a magazine within its publication sequence.
-
C.
reportPublishedIn
Indicates that a specific report appears as content within, or is formally issued through, a particular publication venue (such as a journal, magazine, or report series).
-
D.
publishedNewspaper
Indicates that an entity produced and issued a newspaper for public distribution.
-
E.
notableMagazine
Indicates that a person or entity is notably associated with a particular magazine, such as by being featured in, writing for, or significantly contributing to it.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.