Triple

T38255185
Position Surface form Disambiguated ID Type / Status
Subject Ritsumeikan University Kinugasa area E1017765 entity
Predicate hasMainCampusNameInJapanese P28734 FINISHED
Object 立命館大学衣笠キャンパス
立命館大学衣笠キャンパスは、京都市北区に位置し、人文・社会科学系学部を中心に置く立命館大学の主要キャンパスの一つです。
 E2263100 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: 立命館大学衣笠キャンパス | Statement: [Ritsumeikan University Kinugasa area, hasMainCampusNameInJapanese, 立命館大学衣笠キャンパス]
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: 立命館大学衣笠キャンパス
Triple: [Ritsumeikan University Kinugasa area, hasMainCampusNameInJapanese, 立命館大学衣笠キャンパス]
Generated description
立命館大学衣笠キャンパスは、京都市北区に位置し、人文・社会科学系学部を中心に置く立命館大学の主要キャンパスの一つです。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMainCampusNameInJapanese
Context triple: [Ritsumeikan University Kinugasa area, hasMainCampusNameInJapanese, 立命館大学衣笠キャンパス]
  • A. hasOfficialNameInJapanese
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • B. hasNameInJapanese chosen
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • C. officialNameInRomaji
    Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
  • D. hasSubschoolsInJapan
    Indicates that an entity (such as a school or organization) has subordinate branches or subschools located within Japan.
  • E. hasAlleyNameInJapanese
    Indicates that an alley has a specific name expressed in the Japanese language.
  • 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_69f76de33e4481909099fa812709bd42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4193d08f1c8190827c8876ce894536 completed June 28, 2026, 9:36 p.m.
NEDg Description generation batch_6a41947a2f608190aba9f20c7e4cd8d6 completed June 28, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a4195210170819086828d7780a6e407 completed June 28, 2026, 9:41 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:30 p.m.