Triple

T7255863
Position Surface form Disambiguated ID Type / Status
Subject Karl-Gerät E157719 entity
Predicate firingCharacteristic P75588 FINISHED
Object very low rate of fire 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: very low rate of fire | Statement: [Karl-Gerät, firingCharacteristic, very low rate of fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firingCharacteristic
Context triple: [Karl-Gerät, firingCharacteristic, very low rate of fire]
  • A. designedToFire
    Indicates that one entity is intended or configured to discharge, launch, or emit another entity (such as a projectile, signal, or event).
  • B. firingDirection
    Indicates the direction or trajectory along which a firing action (such as shooting or launching a projectile) is aimed or executed.
  • C. durationOfFiring
    Indicates the length of time that a firing event or process continues.
  • D. firingPlatform
    Indicates a platform or structure from which a weapon or projectile is launched or fired.
  • E. fireModes
    Indicates the different ways or settings in which a weapon or device can be fired or operated.
  • F. None of above. chosen

Provenance (4 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa0c76c81909fe43ed6938a13ea completed March 27, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69c6e7666ffc81908bf643d8257e6337 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6e889854481908c765ce2107f2d3a completed March 27, 2026, 8:28 p.m.
Created at: March 27, 2026, 2:56 p.m.