Triple

T14168603
Position Surface form Disambiguated ID Type / Status
Subject 伊藤 清 E351143 entity
Predicate 主要概念 P49381 FINISHED
Object 伊藤の補題
伊藤の補題は、確率積分を含む関数の微分を扱うための確率解析における基本的な公式であり、特にブラウン運動に対する関数の変換則を与える中心的な結果である。
E1082883 NE FINISHED

How this triple was built (4 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: 伊藤の補題 | Statement: [伊藤 清, 主要概念, 伊藤の補題]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 伊藤の補題
Context triple: [伊藤 清, 主要概念, 伊藤の補題]
  • A. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • B. Seitu
    Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
  • C. Itsuka
    Itsuka is a novel by Joy Kogawa that continues the story of Japanese Canadians grappling with the legacy of wartime internment and the struggle for redress.
  • D. Ritto
    Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
  • E. Itsa
    Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 伊藤の補題
Triple: [伊藤 清, 主要概念, 伊藤の補題]
Generated description
伊藤の補題は、確率積分を含む関数の微分を扱うための確率解析における基本的な公式であり、特にブラウン運動に対する関数の変換則を与える中心的な結果である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 伊藤の補題
Target entity description: 伊藤の補題は、確率積分を含む関数の微分を扱うための確率解析における基本的な公式であり、特にブラウン運動に対する関数の変換則を与える中心的な結果である。
  • A. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • B. Seitu
    Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
  • C. Itsuka
    Itsuka is a novel by Joy Kogawa that continues the story of Japanese Canadians grappling with the legacy of wartime internment and the struggle for redress.
  • D. Ritto
    Ritto is a city in Shiga Prefecture, Japan, known for its location along major transportation routes between Kyoto and Nagoya.
  • E. Itsa
    Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
  • F. None of above. chosen

Provenance (5 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1 a.m.