Triple

T4576698
Position Surface form Disambiguated ID Type / Status
Subject Inspector-General of Military Education (Japan) E123154 entity
Predicate isHighRanking P58086 FINISHED
Object true 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: true | Statement: [Inspector-General of Military Education (Japan), isHighRanking, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isHighRanking
Context triple: [Inspector-General of Military Education (Japan), isHighRanking, true]
  • A. highestRankIn
    Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
  • B. isRank
    Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
  • C. isRankedAbove
    Indicates that one entity holds a higher position or status in an ordered ranking than another entity.
  • D. hasRankingCategory
    Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
  • E. eligibleRank
    Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
PD Predicate disambiguation batch_69bd5228b70c8190ac48705e35a710c1 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56b4a9508190acdb888eef18f1ee completed March 20, 2026, 2:16 p.m.
Created at: March 20, 2026, 1:10 p.m.