Triple

T6402776
Position Surface form Disambiguated ID Type / Status
Subject Takasaki Station E144101 entity
Predicate connectsToRegion P845 FINISHED
Object Joetsu region E373344 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: Joetsu region | Statement: [Takasaki Station, connectsToRegion, Joetsu region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joetsu region
Context triple: [Takasaki Station, connectsToRegion, Joetsu region]
  • A. Yamagata Prefecture
    Yamagata Prefecture is a largely rural prefecture in Japan’s Tōhoku region, known for its mountains, hot springs, and cherry production.
  • B. Tokachi region
    The Tokachi region is an agricultural and dairy-producing area in eastern Hokkaido, Japan, known for its vast plains, food products, and hot springs.
  • C. Oshikoto Region
    Oshikoto Region is an administrative region in northern Namibia known for its mix of rural communities, agriculture, and the town of Tsumeb as its economic center.
  • D. Hokuriku region chosen
    The Hokuriku region is a coastal area in northwestern Honshu, Japan, known for its heavy snowfall, Sea of Japan shoreline, and historic castle and hot spring towns.
  • E. Tochigi Prefecture
    Tochigi Prefecture is a landlocked region in Japan’s Kantō area known for the historic city of Nikkō, natural hot springs, and mountainous scenery.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068af3f448190a94ecd5109e9e8e4 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c85695cc608190aa6ed016bd3f8929 completed March 28, 2026, 10:30 p.m.
Created at: March 22, 2026, 4:35 p.m.