Triple

T32655964
Position Surface form Disambiguated ID Type / Status
Subject Azusa River E834863 entity
Predicate sourceLocation P40 FINISHED
Object Mount Yari area
Mount Yari area is a high-altitude mountainous region in Japan’s Northern Alps, renowned for its rugged peaks, alpine scenery, and popularity among climbers and hikers.
 E2017155 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 Yari area | Statement: [Azusa River, sourceLocation, Mount Yari area]
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 Yari area
Triple: [Azusa River, sourceLocation, Mount Yari area]
Generated description
Mount Yari area is a high-altitude mountainous region in Japan’s Northern Alps, renowned for its rugged peaks, alpine scenery, and popularity among climbers and hikers.

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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c77b504c8190aa225fad8f2cb2aa completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492afc22481909e778082ddd6b333 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a3493bc839c8190ade6ca8ccf125853 completed June 19, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34948e92348190bec1eb58502e919f completed June 19, 2026, 12:59 a.m.
Created at: May 1, 2026, 1:08 a.m.