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.