Triple

T32317029
Position Surface form Disambiguated ID Type / Status
Subject Kantokuen E825666 entity
Predicate fullJapaneseName P28734 FINISHED
Object 関東軍特種演習
関東軍特種演習は、1941年に日本の関東軍が対ソ連戦争を想定して計画した大規模動員・軍事演習構想であり、日ソ中立条約や独ソ戦の推移の中で最終的に実施されなかった作戦計画である。
E2001406 NE FINISHED

How this triple was built (3 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: 関東軍特種演習 | Statement: [Kantokuen, fullJapaneseName, 関東軍特種演習]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 関東軍特種演習
Triple: [Kantokuen, fullJapaneseName, 関東軍特種演習]
Generated description
関東軍特種演習は、1941年に日本の関東軍が対ソ連戦争を想定して計画した大規模動員・軍事演習構想であり、日ソ中立条約や独ソ戦の推移の中で最終的に実施されなかった作戦計画である。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fullJapaneseName
Context triple: [Kantokuen, fullJapaneseName, 関東軍特種演習]
  • A. formerJapaneseNameOf
    Indicates that one entity was previously used as the Japanese name for another entity but is no longer its current Japanese name.
  • B. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • C. hasJapaneseSurname
    Indicates that the person or entity possesses a surname that is of Japanese origin or is commonly used in Japanese naming conventions.
  • D. hasNameInJapanese chosen
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • E. JapaneseNameReading
    Indicates that one entity is the reading or pronunciation (e.g., in kana or romaji) of a Japanese name represented by the other entity.
  • F. None of above.

Provenance (6 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_69f3491213b88190a57094d8697a7455 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bdbc092c81908d93b4c4a4899cde completed May 3, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a30571ba5cc819099ec2f08cbca1310 completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a305835ae0c8190b88773e510826a0d completed June 15, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a3058b2245c8190811b6cdad0f18aa6 completed June 15, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:46 a.m.