Triple

T18169163
Position Surface form Disambiguated ID Type / Status
Subject Mount Akagi E434973 entity
Predicate hasCraterLake P18447 FINISHED
Object Lake Kakumanbuchi NE NERFINISHED

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 Kakumanbuchi | Statement: [Mount Akagi, hasCraterLake, Lake Kakumanbuchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kakumanbuchi
Context triple: [Mount Akagi, hasCraterLake, Lake Kakumanbuchi]
  • A. Lake Kakumanbuchi chosen
    Lake Kakumanbuchi is a small crater lake situated on the volcanic Mount Akagi in Gunma Prefecture, Japan.
  • B. Lake Kussharo
    Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
  • C. Lake Ikeda
    Lake Ikeda is a large caldera lake in Kagoshima Prefecture, Japan, known for its scenic views, clear waters, and legends of a mysterious lake creature.
  • D. Lake Nakaumi
    Lake Nakaumi is a brackish coastal lake in western Japan, situated between Shimane and Tottori prefectures, known for its rich fisheries and scenic views near the city of Matsue.
  • E. Lake Akimoto
    Lake Akimoto is a dammed lake in Fukushima Prefecture, Japan, known as part of the scenic Bandai-kōgen highland lake district formed by the eruption of Mount Bandai.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df53ef148190a32aad0253547645 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.