Triple

T37061191
Position Surface form Disambiguated ID Type / Status
Subject 関西大学高槻キャンパス E917327 entity
Predicate 関連大学キャンパス P269 FINISHED
Object 関西大学梅田キャンパス
関西大学梅田キャンパスは、大阪市北区梅田エリアに位置し、社会人教育や産学連携、起業支援などを特色とする都市型キャンパスです。
E2217234 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: 関西大学梅田キャンパス | Statement: [関西大学高槻キャンパス, 関連大学キャンパス, 関西大学梅田キャンパス]
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: 関西大学梅田キャンパス
Triple: [関西大学高槻キャンパス, 関連大学キャンパス, 関西大学梅田キャンパス]
Generated description
関西大学梅田キャンパスは、大阪市北区梅田エリアに位置し、社会人教育や産学連携、起業支援などを特色とする都市型キャンパスです。

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb35c058a881909b7ffc2258a656ff completed May 6, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4035feab6c819092f96489436e6d3b completed June 27, 2026, 8:43 p.m.
NEDg Description generation batch_6a4036bd31748190a08ed682417cc180 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a403861c27481908142d4cf2a8ff8ae completed June 27, 2026, 8:53 p.m.
Created at: May 3, 2026, 4:14 p.m.