Triple

T1152017
Position Surface form Disambiguated ID Type / Status
Subject JR Saikyo Line E23696 entity
Predicate serves P98 FINISHED
Object Tokyo metropolitan area E5560 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: Tokyo metropolitan area | Statement: [JR Saikyo Line, serves, Tokyo metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo metropolitan area
Context triple: [JR Saikyo Line, serves, Tokyo metropolitan area]
  • A. Osaka–Kobe metropolitan area
    The Osaka–Kobe metropolitan area is a major urban and economic region in Japan’s Kansai area, centered on the cities of Osaka and Kobe and known for its dense population, industry, and cultural influence.
  • B. Tokyo Prefecture
    Tokyo Prefecture is Japan’s capital metropolitan region, encompassing the city of Tokyo and serving as the country’s political, economic, and cultural center.
  • C. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • D. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • E. Kantō region
    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.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0684e4819091720c985c317671 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:44 p.m.