Triple
T8131313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P30 pistol |
E189857
|
entity |
| Predicate | caliberOption |
P6076
|
FINISHED |
| Object | 9×19mm Parabellum |
—
|
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: 9×19mm Parabellum | Statement: [P30 pistol, caliberOption, 9×19mm Parabellum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caliberOption Context triple: [P30 pistol, caliberOption, 9×19mm Parabellum]
-
A.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
barrelLengthInCalibers
Indicates the length of a barrel expressed as a multiple of its bore diameter (in calibers), describing how many times the bore diameter fits into the barrel length.
-
C.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
-
D.
hasChamberLength
Indicates the length measurement of a chamber associated with an entity.
-
E.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.