Triple

T28813325
Position Surface form Disambiguated ID Type / Status
Subject 北岳 E727573 entity
Predicate 人気のアクティビティ P1164 FINISHED
Object アルパインクライミング（北岳バットレス）
アルパインクライミング（北岳バットレス）は、日本第2の高峰・北岳の東面に発達した岩壁を舞台に、多彩なルートと本格的な岩稜登攀が楽しめる日本有数のアルパインクライミングエリアである。
 E1833496 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: アルパインクライミング（北岳バットレス） | Statement: [北岳, 人気のアクティビティ, アルパインクライミング（北岳バットレス）]
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: アルパインクライミング（北岳バットレス）
Triple: [北岳, 人気のアクティビティ, アルパインクライミング（北岳バットレス）]
Generated description
アルパインクライミング（北岳バットレス）は、日本第2の高峰・北岳の東面に発達した岩壁を舞台に、多彩なルートと本格的な岩稜登攀が楽しめる日本有数のアルパインクライミングエリアである。

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_69f0319c38948190bca746ad60fd25ba 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_6a24a28238988190815a8a5c3fc15fea completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a650b8408190abe70dc1108b8368 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24aa401b2c8190bf774922baa12667 completed June 6, 2026, 11:16 p.m.
Created at: April 28, 2026, 6:31 a.m.