Triple

T19565438
Position Surface form Disambiguated ID Type / Status
Subject Asagiri Plateau E489568 entity
Predicate near P350 FINISHED
Object Lake Tanuki 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 Tanuki | Statement: [Asagiri Plateau, near, Lake Tanuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Tanuki
Context triple: [Asagiri Plateau, near, Lake Tanuki]
  • A. Lake Tanuki chosen
    Lake Tanuki is a scenic artificial lake in Fujinomiya, Shizuoka Prefecture, Japan, renowned for its views of Mount Fuji and popular for camping, fishing, and seasonal festivals.
  • 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 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.
  • D. Lake Shoji
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • E. 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.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f777cf081909312b46ac09bce7c completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.