Triple

T10947155
Position Surface form Disambiguated ID Type / Status
Subject Fuji-Hakone-Izu National Park E258626 entity
Predicate contains P35 FINISHED
Object Lake Ashi E887695 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 Ashi | Statement: [Fuji-Hakone-Izu National Park, contains, Lake Ashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Ashi
Context triple: [Fuji-Hakone-Izu National Park, contains, Lake Ashi]
  • A. Lake Ashi chosen
    Lake Ashi is a scenic crater lake in Japan’s Hakone region, famed for its views of Mount Fuji, hot spring resorts, and sightseeing cruises.
  • B. Lake Haruna
    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.
  • C. Lake Shoji
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • D. Onota Lake
    Onota Lake is a scenic recreational lake in Pittsfield, Massachusetts, popular for boating, fishing, and lakeside activities in the Berkshires region.
  • E. 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.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c4a75688190894c83b8964509a6 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.