Triple

T28845078
Position Surface form Disambiguated ID Type / Status
Subject 菅直人 E728429 entity
Predicate almaMater P5 FINISHED
Object 東京工業大学理学部応用物理学科
東京工業大学理学部応用物理学科は、東京工業大学に設置された理学系の学科で、物理学の理論と応用の両面を重視した教育・研究を行う応用物理学分野の専門学科である。
 E1836979 NE 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: 東京工業大学理学部応用物理学科 | Statement: [菅直人, almaMater, 東京工業大学理学部応用物理学科]
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: 東京工業大学理学部応用物理学科
Triple: [菅直人, almaMater, 東京工業大学理学部応用物理学科]
Generated description
東京工業大学理学部応用物理学科は、東京工業大学に設置された理学系の学科で、物理学の理論と応用の両面を重視した教育・研究を行う応用物理学分野の専門学科である。

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f659d389cc81908a6c952dd842c3a6 completed May 2, 2026, 8:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbb8060c8190a2ba73a263a9d89d completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c0054a1c8190bcfd93bbe412553b completed June 7, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a24c6b4cdb88190b7421c5ba080fb45 completed June 7, 2026, 1:17 a.m.
Created at: April 28, 2026, 6:42 a.m.