Triple

T1218243
Position Surface form Disambiguated ID Type / Status
Subject Operation Detachment E26156 entity
Predicate defensiveDoctrine P6012 FINISHED
Object Japanese defense-in-depth 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: Japanese defense-in-depth | Statement: [Operation Detachment, defensiveDoctrine, Japanese defense-in-depth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defensiveDoctrine
Context triple: [Operation Detachment, defensiveDoctrine, Japanese defense-in-depth]
  • A. defensiveTactics
    Indicates the use or implementation of strategies, maneuvers, or methods intended to protect, guard, or defend against threats or attacks.
  • B. defensivePlan chosen
    Indicates a relationship where an entity formulates or adopts a strategy specifically intended to protect against threats, attacks, or other adverse actions.
  • C. defensiveStructure
    Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
  • D. defensiveRole
    Indicates that an entity serves a protective or guarding function in relation to another entity or context.
  • E. defensiveOperation
    Indicates actions or measures undertaken to protect, guard, or defend a target against threats or attacks.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be08157c8190b248bb75b922644f completed March 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69a4bb62a7c08190a79dcb6ff72ac99b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.