Triple

T8951329
Position Surface form Disambiguated ID Type / Status
Subject Nara Basin E213354 entity
Predicate surroundedBy P224 FINISHED
Object Yamato Plateau E138834 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: Yamato Plateau | Statement: [Nara Basin, surroundedBy, Yamato Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamato Plateau
Context triple: [Nara Basin, surroundedBy, Yamato Plateau]
  • A. Yamato Plateau chosen
    Yamato Plateau is a highland region in Japan known as the historical heartland of early Japanese civilization and culture.
  • B. Iori Plateau
    Iori Plateau is a semi-arid upland region in eastern Georgia known for its steppe landscapes, biodiversity, and archaeological sites.
  • C. Asagiri Plateau
    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.
  • D. 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.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670c7244819084978922a9835bc9 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb887378819093a48d7035609951 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:59 p.m.