Triple

T5025618
Position Surface form Disambiguated ID Type / Status
Subject Fujinomiya E112966 entity
Predicate hasAttraction P105 FINISHED
Object Asagiri Plateau E489568 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: Asagiri Plateau | Statement: [Fujinomiya, hasAttraction, Asagiri Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asagiri Plateau
Context triple: [Fujinomiya, hasAttraction, Asagiri Plateau]
  • A. Asagiri Plateau chosen
    Asagiri Plateau is a scenic highland area near the base of Mount Fuji in Shizuoka Prefecture, Japan, known for its dairy farms, camping grounds, and panoramic views of the mountain.
  • B. Iori Plateau
    Iori Plateau is a semi-arid upland region in eastern Georgia known for its steppe landscapes, biodiversity, and archaeological sites.
  • C. Kitami Plateau
    Kitami Plateau is a highland region associated with the city of Kitami in northern Hokkaido, Japan, characterized by its elevated terrain and cold climate.
  • D. Yamato Plateau
    Yamato Plateau is a highland region in Japan known as the historical heartland of early Japanese civilization and culture.
  • E. Mount Akagi plateau
    Mount Akagi plateau is a highland area on Mount Akagi in Gunma Prefecture, Japan, known for its volcanic landscape, scenic views, and surrounding crater lakes.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736a0f8c819091d06275954329e9 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0ecf0d88190b459d9c29bfc005d completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:36 p.m.