Triple
T24620190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sterling submachine gun |
E609389
|
entity |
| Predicate | overallLengthWithStockFolded |
P156770
|
FINISHED |
| Object | 482 mm |
—
|
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: 482 mm | Statement: [Sterling submachine gun, overallLengthWithStockFolded, 482 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallLengthWithStockFolded Context triple: [Sterling submachine gun, overallLengthWithStockFolded, 482 mm]
-
A.
longestWhenOpened
Indicates that an object reaches its maximum length or extent when it is in an opened or fully extended state.
-
B.
folded
Indicates that an entity has been bent or doubled over onto itself, typically along a line or crease, changing its original flat or extended form.
-
C.
overallLengthInFiringPosition
Indicates the total length of an object when it is configured or positioned for firing.
-
D.
totalLength_m
Indicates the overall measured length of something expressed in meters.
-
E.
reachInInches
Indicates the distance an entity can extend or reach, measured in inches.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.