Triple

T10984173
Position Surface form Disambiguated ID Type / Status
Subject Lake Motosu E259583 entity
Predicate near P350 FINISHED
Object Lake Kawaguchi E255830 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: Lake Kawaguchi | Statement: [Lake Motosu, near, Lake Kawaguchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kawaguchi
Context triple: [Lake Motosu, near, Lake Kawaguchi]
  • A. Lake Kawaguchi chosen
    Lake Kawaguchi is a scenic lake in Japan’s Fuji Five Lakes region, renowned for its iconic views of Mount Fuji and popular hot spring resorts.
  • B. Lake Kagawong
    Lake Kagawong is a freshwater lake on Manitoulin Island in Ontario, Canada, known for its scenic shoreline, recreational fishing, and nearby Bridal Veil Falls.
  • C. Inawashiro Lake
    Inawashiro Lake is one of Japan’s largest and clearest freshwater lakes, located near Mount Bandai in Fukushima and known for its scenic views and migratory swans.
  • D. Lake Yamanaka
    Lake Yamanaka is the largest of the Fuji Five Lakes in Japan, known for its scenic views of Mount Fuji and popularity as a resort and recreational area.
  • E. Lake Shinji
    Lake Shinji is a brackish lake in Shimane Prefecture, Japan, renowned for its scenic sunsets, hot spring resorts, and abundant clam and eel fisheries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ec55fc81909b2b15f2493dddc6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374526d54819085a0fb0d62f7a581 completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:24 p.m.