Triple

T12801648
Position Surface form Disambiguated ID Type / Status
Subject Nozomi E306032 entity
Predicate stopsAt P6657 FINISHED
Object Shin-Yokohama Station 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: Shin-Yokohama Station | Statement: [Nozomi, stopsAt, Shin-Yokohama Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shin-Yokohama Station
Context triple: [Nozomi, stopsAt, Shin-Yokohama Station]
  • A. Shin-Yokohama Station chosen
    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.
  • B. Yokohama Station
    Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
  • C. Yokosuka Station
    Yokosuka Station is a railway station in Yokosuka, Kanagawa Prefecture, Japan, serving as a key stop on the JR East Yokosuka Line connecting the city with Tokyo and surrounding areas.
  • D. Shirokanedai Station
    Shirokanedai Station is an underground railway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
  • 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 (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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7d3f5c8190bf01bef5d263ca26 completed April 10, 2026, 9:41 p.m.
Created at: April 9, 2026, 5:30 p.m.