Triple

T4874598
Position Surface form Disambiguated ID Type / Status
Subject Mount Haruna E109169 entity
Predicate hasCraterLake P18447 FINISHED
Object Lake Haruna E476309 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 Haruna | Statement: [Mount Haruna, hasCraterLake, Lake Haruna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Haruna
Context triple: [Mount Haruna, hasCraterLake, Lake Haruna]
  • A. Lake Haruna chosen
    Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
  • B. Lake Shoji
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • C. Lake Kussharo
    Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
  • 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 Motosu
    Lake Motosu is one of the Fuji Five Lakes in Yamanashi Prefecture, Japan, renowned for its clear deep waters and iconic views of Mount Fuji reflected on its surface.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6da1b45881909d45cb1214f5bdde completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81b60ea48190ae8cd7ef9c30a388 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:27 p.m.