Triple
T36453820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Vz. 24 rifle |
E898096
|
entity |
| Predicate | alsoChamberedFor |
P9006
|
FINISHED |
| Object | .30-06 Springfield |
—
|
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: .30-06 Springfield | Statement: [Czech Vz. 24 rifle, alsoChamberedFor, .30-06 Springfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoChamberedFor Context triple: [Czech Vz. 24 rifle, alsoChamberedFor, .30-06 Springfield]
-
A.
chamberedFor
chosen
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
B.
forChamber
Indicates that something is intended for use in, associated with, or belonging to a particular chamber.
-
C.
namedForChamber
Indicates that one entity is named after, or in honor of, a particular chamber (such as a legislative or deliberative body).
-
D.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
E.
includesChamber
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.