Triple

T34747082
Position Surface form Disambiguated ID Type / Status
Subject Northern Yatsugatake Volcanic Group E1001665 entity
Predicate hasPeak P8205 FINISHED
Object Mount Shimagare
Mount Shimagare is a mountain peak in Japan that forms part of the Northern Yatsugatake Volcanic Group, a range known for its volcanic origins and alpine landscapes.
E2284866 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: Mount Shimagare | Statement: [Northern Yatsugatake Volcanic Group, hasPeak, Mount Shimagare]
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: Mount Shimagare
Triple: [Northern Yatsugatake Volcanic Group, hasPeak, Mount Shimagare]
Generated description
Mount Shimagare is a mountain peak in Japan that forms part of the Northern Yatsugatake Volcanic Group, a range known for its volcanic origins and alpine landscapes.

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_69f76db0367081909b57c50a7fb03025 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779e5f9ec8190970aa4dd57918a7c completed May 3, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a44a889f7f88190a0ff6503b62bf62e completed July 1, 2026, 5:41 a.m.
NEDg Description generation batch_6a44a9af0e308190b80d658a1840075a completed July 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a44aa272790819088b3476647722b1f completed July 1, 2026, 5:48 a.m.
Created at: May 3, 2026, 3:59 p.m.