Triple
T30771107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recoilless rifle |
E783523
|
entity |
| Predicate | hasTypicalCaliberRange |
P6076
|
FINISHED |
| Object | 57 mm to 120 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: 57 mm to 120 mm | Statement: [Recoilless rifle, hasTypicalCaliberRange, 57 mm to 120 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalCaliberRange Context triple: [Recoilless rifle, hasTypicalCaliberRange, 57 mm to 120 mm]
-
A.
rangeStandardAmmunition
Indicates that the relationship specifies the standard type of ammunition used for a given range or weapon system.
-
B.
gunCalibre
chosen
Indicates the relationship between a firearm and the calibre (size/diameter) of ammunition it is designed to use.
-
C.
isLargerCaliberCounterpartOf
Indicates that one item is the higher-caliber version or counterpart of another, typically within the same general type or family of objects.
-
D.
hasFiringRange
Indicates that one entity possesses or provides a designated area or capability for discharging weapons over a specified distance.
-
E.
hasSmallCalibreGuns
Indicates that the subject is equipped with or possesses guns of relatively small calibre compared to standard or typical armaments.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 29, 2026, 8:40 p.m.