Triple

T3957451
Position Surface form Disambiguated ID Type / Status
Subject Umeda district E85815 entity
Predicate hasRailwayStation P918 FINISHED
Object Umeda Station E353671 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: Umeda Station | Statement: [Umeda district, hasRailwayStation, Umeda Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umeda Station
Context triple: [Umeda district, hasRailwayStation, Umeda Station]
  • A. Umeda Station chosen
    Umeda Station is a major railway hub in Osaka, Japan, serving multiple private railway and subway lines and forming one of the busiest transport complexes in the country.
  • B. Shinsaibashi Station
    Shinsaibashi Station is a major Osaka Metro subway station in Osaka, Japan, serving as a key transit hub for the bustling Shinsaibashi shopping and entertainment district.
  • C. Higashiyama Station
    Higashiyama Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the historic Higashiyama district.
  • D. Shin-Osaka Station
    Shin-Osaka Station is a major railway and Shinkansen hub in Osaka that serves as a key gateway connecting the city with other regions across Japan.
  • E. Ikebukuro Station
    Ikebukuro Station is one of Tokyo’s busiest railway hubs, serving multiple JR and private lines and acting as a major commercial and transit center in the Ikebukuro district.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86117b56881909168f39747504797 completed March 28, 2026, 11:15 p.m.
Created at: March 9, 2026, 3:31 p.m.