Triple

T19314887
Position Surface form Disambiguated ID Type / Status
Subject Nanto Shichi Daiji E483068 entity
Predicate geographicalContext P3227 FINISHED
Object Nara Basin 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: Nara Basin | Statement: [Nanto Shichi Daiji, geographicalContext, Nara Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nara Basin
Context triple: [Nanto Shichi Daiji, geographicalContext, Nara Basin]
  • A. Nara Basin chosen
    The Nara Basin is a lowland plain in central Japan known as the historical heart of Nara Prefecture, containing many of Japan’s earliest capitals and cultural heritage sites.
  • B. Osaka Plain
    The Osaka Plain is a large, fertile lowland area in the Kansai region of Japan that forms the core of the Osaka metropolitan area and supports dense urban development and agriculture.
  • C. Uonuma Basin
    Uonuma Basin is an inland plain in Niigata Prefecture, Japan, known for its heavy snowfall and high-quality rice production.
  • D. Sanuki Plain
    The Sanuki Plain is a fertile lowland region in Kagawa Prefecture on Japan’s Shikoku Island, known for its agriculture and historic settlements.
  • E. Kyoto Basin
    The Kyoto Basin is a low-lying inland plain in central Honshu, Japan, that forms the geographic setting for the city of Kyoto and surrounding urban and agricultural areas.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cfec8c8190a118b327b1418150 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.