Triple

T5599693
Position Surface form Disambiguated ID Type / Status
Subject 神戸大学 E147086 entity
Predicate campus P269 FINISHED
Object 名谷キャンパス
名谷キャンパスは、主に医学部保健学科などが置かれている神戸大学の主要な郊外キャンパスの一つです。
E528897 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: 名谷キャンパス | Statement: [神戸大学, campus, 名谷キャンパス]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 名谷キャンパス
Context triple: [神戸大学, campus, 名谷キャンパス]
  • A. Nakamiya Campus
    Nakamiya Campus is one of the main campuses of Kansai Gaidai University in Japan, known for hosting many of the university’s academic and international programs.
  • B. Senriyama Campus
    Senriyama Campus is the main campus of Kansai University in Osaka, Japan, housing its central academic, administrative, and student facilities.
  • C. Tsurumai Campus
    Tsurumai Campus is one of Nagoya University's main campuses, known especially for its medical and health-related faculties and facilities in Nagoya, Japan.
  • D. 青葉山キャンパス
    青葉山キャンパスは、自然豊かな丘陵地に広がる東北大学の主要キャンパスで、理系学部や研究施設が集積する拠点となっている。
  • E. Kawasumi Campus
    Kawasumi Campus is one of the main campuses of Nagoya City University in Japan, housing various academic and research facilities for its students and faculty.
  • 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: 名谷キャンパス
Triple: [神戸大学, campus, 名谷キャンパス]
Generated description
名谷キャンパスは、主に医学部保健学科などが置かれている神戸大学の主要な郊外キャンパスの一つです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 名谷キャンパス
Target entity description: 名谷キャンパスは、主に医学部保健学科などが置かれている神戸大学の主要な郊外キャンパスの一つです。
  • A. Nakamiya Campus
    Nakamiya Campus is one of the main campuses of Kansai Gaidai University in Japan, known for hosting many of the university’s academic and international programs.
  • B. Senriyama Campus
    Senriyama Campus is the main campus of Kansai University in Osaka, Japan, housing its central academic, administrative, and student facilities.
  • C. Tsurumai Campus
    Tsurumai Campus is one of Nagoya University's main campuses, known especially for its medical and health-related faculties and facilities in Nagoya, Japan.
  • D. 青葉山キャンパス
    青葉山キャンパスは、自然豊かな丘陵地に広がる東北大学の主要キャンパスで、理系学部や研究施設が集積する拠点となっている。
  • E. Kawasumi Campus
    Kawasumi Campus is one of the main campuses of Nagoya City University in Japan, housing various academic and research facilities for its students and faculty.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d936dc8190a2e599f1df9fdd91 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287139508190aa646918228cfdc0 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.