Triple
T17606558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thompson submachine gun |
E428846
|
entity |
| Predicate | drumMagazineCapacity |
P128255
|
FINISHED |
| Object | 50-round drum 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: 50-round drum magazine | Statement: [Thompson submachine gun, drumMagazineCapacity, 50-round drum magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drumMagazineCapacity Context triple: [Thompson submachine gun, drumMagazineCapacity, 50-round drum magazine]
-
A.
drumheadType
Indicates the specific kind or category of drumhead used on a drum or percussion instrument.
-
B.
drumOrientation
Indicates the spatial alignment or facing direction of a drum relative to a reference frame or object.
-
C.
hasDrumheadCount
Indicates the number of drumheads associated with or present on a drum or drum-like object.
-
D.
usesDrums
Indicates that an entity employs drums as instruments or tools in performing an action or carrying out an activity.
-
E.
ramCapacity
Indicates the amount of system memory (RAM) that an entity possesses or supports.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.