Triple

T33795522
Position Surface form Disambiguated ID Type / Status
Subject Mount Warusawa E866062 entity
Predicate alsoKnownAs P39 FINISHED
Object 悪沢岳
悪沢岳は、日本の南アルプスに位置し、日本百名山の一つにも数えられる標高3,000メートル級の名峰です。
E2198034 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: 悪沢岳 | Statement: [Mount Warusawa, alsoKnownAs, 悪沢岳]
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: 悪沢岳
Triple: [Mount Warusawa, alsoKnownAs, 悪沢岳]
Generated description
悪沢岳は、日本の南アルプスに位置し、日本百名山の一つにも数えられる標高3,000メートル級の名峰です。

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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ff41b6d4819091dc2f5dd308396b completed May 3, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3c17062b10819087ee498fa0e4f714 completed June 24, 2026, 5:42 p.m.
NEDg Description generation batch_6a3c17bef5988190bf7bbafbaaeebef1 completed June 24, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3c6c139c748190befd6b09cf6171b2 completed June 24, 2026, 11:45 p.m.
Created at: May 1, 2026, 1:46 a.m.