Triple

T6154343
Position Surface form Disambiguated ID Type / Status
Subject Tokyu Corporation E137281 entity
Predicate servesStationArea P26183 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: [Tokyu Corporation, servesStationArea, Yokohama Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama Station
Context triple: [Tokyu Corporation, servesStationArea, 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. Suita Station
    Suita Station is a railway station in Suita, Osaka Prefecture, Japan, serving passengers on the JR Kyoto Line (Tōkaidō Main Line).
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cffc7bc819092633a9e5f1abe2f completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
Created at: March 22, 2026, 4:17 p.m.