Triple

T15716228
Position Surface form Disambiguated ID Type / Status
Subject Lake Akan E380966 entity
Predicate partOf P40 FINISHED
Object Akan caldera E374540 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: Akan caldera | Statement: [Lake Akan, partOf, Akan caldera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan caldera
Context triple: [Lake Akan, partOf, Akan caldera]
  • A. Akan Caldera chosen
    Akan Caldera is a large volcanic caldera in eastern Hokkaido, Japan, known for its scenic crater lakes, geothermal features, and active volcanic landscape.
  • B. Aira Caldera
    Aira Caldera is a large, active volcanic caldera in southern Kyushu, Japan, known for its dramatic geology and frequent eruptions.
  • C. Toya caldera
    Toya caldera is a large volcanic caldera in Hokkaido, Japan, known for its scenic lake, hot springs, and frequent volcanic activity.
  • D. Urataman Caldera
    Urataman Caldera is a large volcanic caldera located on Simushir Island in Russia’s Kuril Islands chain, known for its significant explosive eruptions and rugged, remote setting.
  • E. Latera caldera
    Latera caldera is a large volcanic depression in central Italy, known as part of the Vulsini volcanic district and characterized by its complex collapse structures and past explosive activity.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f464008190ae0e79f50b9b3eb3 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:45 a.m.