Triple

T438568
Position Surface form Disambiguated ID Type / Status
Subject Osaka Station E10063 entity
Predicate formerName P65 FINISHED
Object Umeda Station E10063 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: [Osaka Station, formerName, Umeda Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umeda Station
Context triple: [Osaka Station, formerName, Umeda Station]
  • A. 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.
  • B. Kyobashi Station
    Kyobashi Station is a major railway hub in Osaka, Japan, serving multiple JR West, Keihan, and Osaka Metro lines and connecting central Osaka with surrounding areas.
  • C. Osaka Station chosen
    Osaka Station is a major railway terminal and transportation hub in Osaka, Japan, serving numerous local and long-distance train lines and connecting key commercial districts.
  • D. Tennoji Station
    Tennoji Station is a major railway and transportation hub in Osaka, Japan, serving multiple JR, subway, and private railway lines and connecting key commercial and tourist areas.
  • E. Shibuya Station
    Shibuya Station is one of Tokyo’s busiest and most important railway hubs, serving multiple train and subway lines and anchoring the famous Shibuya shopping and entertainment 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef283be881909444aaf257451747 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d217dc8190b5b751e94f44a841 completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.