Triple

T3965137
Position Surface form Disambiguated ID Type / Status
Subject MG 81 E92197 entity
Predicate projectileType P6074 FINISHED
Object 7.92 mm bullet 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: 7.92 mm bullet | Statement: [MG 81, projectileType, 7.92 mm bullet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: projectileType
Context triple: [MG 81, projectileType, 7.92 mm bullet]
  • A. involvesProjectile
    Indicates that the action or event includes the use, presence, or motion of a projectile as a key component of the interaction between entities.
  • B. catapultType
    Indicates the specific kind or category of catapult associated with an entity or event.
  • C. shotType
    Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
  • D. ammunitionType chosen
    Indicates the specific kind or category of ammunition associated with or used by an entity.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefba878a48190a2e234d775215938 completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef8efcf3c81908ccf61d9ce26b0c0 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:31 p.m.