Triple

T7656553
Position Surface form Disambiguated ID Type / Status
Subject Tokyo metropolitan rail network E173398 entity
Predicate hasHub P2413 FINISHED
Object Yokohama Station E403108 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: Yokohama Station | Statement: [Tokyo metropolitan rail network, hasHub, Yokohama Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama Station
Context triple: [Tokyo metropolitan rail network, hasHub, Yokohama Station]
  • A. Yokohama Station chosen
    Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
  • B. Nagoya Station
    Nagoya Station is one of Japan’s largest and busiest railway hubs, serving as a major Shinkansen and regional transit center in the city of Nagoya.
  • C. Shin-Yokohama Station
    Shin-Yokohama Station is a major railway hub in Yokohama, Japan, serving Shinkansen, JR, and municipal subway lines and providing access to key destinations such as the nearby International Stadium Yokohama.
  • D. Tokyo Station
    Tokyo Station is a major railway hub in central Tokyo, serving as a key terminal for Shinkansen bullet trains and numerous local and regional lines.
  • E. Kamakura Station
    Kamakura Station is a major railway station in Kamakura, Kanagawa Prefecture, Japan, serving as a key access point for tourists visiting the city's historic temples, shrines, and coastal attractions.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018fcbb48190a479f2effd939a8e completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065a63f8c8190a50f814fb70e0e31 completed April 4, 2026, 1:13 a.m.
Created at: March 27, 2026, 3:59 p.m.