Triple

T63044
Position Surface form Disambiguated ID Type / Status
Subject Armor Branch E1250 entity
Predicate typeOfWarfare P1403 FINISHED
Object mechanized warfare 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: mechanized warfare | Statement: [Armor Branch, typeOfWarfare, mechanized warfare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfWarfare
Context triple: [Armor Branch, typeOfWarfare, mechanized warfare]
  • A. warfareType chosen
    Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
  • B. usedWarfareType
    Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
  • C. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • D. militaryConflict
    Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
  • E. militaryTheater
    Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24ea3c44081908fa3856969881d1f completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.