Triple

T149878
Position Surface form Disambiguated ID Type / Status
Subject Challenger 2 E3407 entity
Predicate ammunitionType P6074 FINISHED
Object separate-loading ammunition 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: separate-loading ammunition | Statement: [Challenger 2, ammunitionType, separate-loading ammunition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ammunitionType
Context triple: [Challenger 2, ammunitionType, separate-loading ammunition]
  • A. weaponsUsed
    Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
  • B. hasChamber
    Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
  • C. usedWarfareType
    Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
  • D. usedWeapon
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • E. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580ca15481909fa3e87d804a1b23 completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a256599db08190a7b000b381d32ec4 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a25737f9188190b9690dce98aed83a completed Feb. 28, 2026, 2:47 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.