Triple
T10590839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotchkiss gun |
E249982
|
entity |
| Predicate | caliberRange |
P6076
|
FINISHED |
| Object | approximately 37 mm to 57 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: approximately 37 mm to 57 mm | Statement: [Hotchkiss gun, caliberRange, approximately 37 mm to 57 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caliberRange Context triple: [Hotchkiss gun, caliberRange, approximately 37 mm to 57 mm]
-
A.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
B.
rangeStandardAmmunition
Indicates that the relationship specifies the standard type of ammunition used for a given range or weapon system.
-
C.
gunElevationRange
Indicates the range of vertical angles through which a gun can be elevated or depressed relative to a reference plane.
-
D.
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.
-
E.
natoCaliberClass
Indicates that two ammunition types share the same standardized NATO caliber classification.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277b66448190b668c47fe6af4f3d |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.