Triple

T38085970
Position Surface form Disambiguated ID Type / Status
Subject Okehazama no Tatakai E950976 entity
Predicate strategicObjectiveOda P5437 FINISHED
Object defend Owari Province 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: defend Owari Province | Statement: [Okehazama no Tatakai, strategicObjectiveOda, defend Owari Province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveOda
Context triple: [Okehazama no Tatakai, strategicObjectiveOda, defend Owari Province]
  • A. strategicGoal chosen
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • B. strategicObjectiveOfGovernment
    Indicates that a strategic objective is defined, adopted, or pursued by a particular government.
  • C. USObjectives
    Indicates that the relationship specifies the goals, aims, or strategic objectives pursued by the United States in a given context or situation.
  • D. strategicObjectiveInBurma
    Indicates that an entity has or represents a strategic objective specifically related to Burma (Myanmar).
  • E. militaryObjectiveOf
    Indicates that something serves as a military target, goal, or purpose specifically associated with a given actor or force.
  • 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_69f76f03a3608190a73fd6df87c792a8 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcc42cbac48190b8d3e4c9ce140838 completed May 7, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69fcb0fc69c88190800453eb57a7e62c completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:21 p.m.