Triple

T3762553
Position Surface form Disambiguated ID Type / Status
Subject M240 E82594 entity
Predicate typicalRateOfFire P17731 FINISHED
Object 650–950 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: 650–950 rounds per minute | Statement: [M240, typicalRateOfFire, 650–950 rounds per minute]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRateOfFire
Context triple: [M240, typicalRateOfFire, 650–950 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. muzzleVelocity
    Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
  • E. 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.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfa44ac819082f2c895d96c9170 completed March 8, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.