Triple

T20986505
Position Surface form Disambiguated ID Type / Status
Subject Yamanashi Prefecture E516903 entity
Predicate contains P35 FINISHED
Object Lake Shōji E265741 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 Shōji | Statement: [Yamanashi Prefecture, contains, Lake Shōji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Shōji
Context triple: [Yamanashi Prefecture, contains, Lake Shōji]
  • A. Lake Shoji chosen
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe31cec8190a1007414148b8abe completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094736cde48190b4f724d807fd8097 completed May 17, 2026, 4:42 a.m.
Created at: April 16, 2026, 1:49 p.m.