Triple

T13628440
Position Surface form Disambiguated ID Type / Status
Subject Ueno-Tokyo Line E325648 entity
Predicate regionServed P82 FINISHED
Object Kanto region E54245 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: Kanto region | Statement: [Ueno-Tokyo Line, regionServed, Kanto region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanto region
Context triple: [Ueno-Tokyo Line, regionServed, Kanto region]
  • A. Kanto
    Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
  • B. Kanto Plain
    The Kanto Plain is Japan's largest and most populous lowland region, encompassing Tokyo and surrounding urban and agricultural areas on central Honshu.
  • C. Jetisu Region
    Jetisu Region is an administrative region in southeastern Kazakhstan known for its mountainous landscapes and historical role as part of the larger Almaty area.
  • D. Kantō region chosen
    The Kantō region is a major geographical and economic area of eastern Honshu, Japan, encompassing Tokyo and several surrounding prefectures and serving as the country’s political and population center.
  • E. 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.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae394748190b6a0f9a085b7dea6 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.