Triple
T4104114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxim machine gun |
E88407
|
entity |
| Predicate | rateOfFireApprox |
P17731
|
FINISHED |
| Object | 500–600 rounds per minute |
—
|
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: 500–600 rounds per minute | Statement: [Maxim machine gun, rateOfFireApprox, 500–600 rounds per minute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rateOfFireApprox Context triple: [Maxim machine gun, rateOfFireApprox, 500–600 rounds per minute]
-
A.
rateOfFire
chosen
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
B.
numberOfShotsFired
Indicates the total count of shots that were discharged in the described event or action.
-
C.
ammunitionCapacity
Indicates the maximum amount of ammunition that something (typically a weapon or container) is designed to hold at one time.
-
D.
fireControlSystem
Indicates a relationship where a system monitors, directs, and coordinates the detection, targeting, and firing of weapons or other actuators to control the application of force or energy.
-
E.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd31bad88190b850d1dcba14de60 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.