Triple

T438552
Position Surface form Disambiguated ID Type / Status
Subject Osaka Station E10063 entity
Predicate adjacentStation P5707 FINISHED
Object Shin-Osaka Station E10575 NE FINISHED

How this triple was built (3 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-Osaka Station | Statement: [Osaka Station, adjacentStation, Shin-Osaka Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shin-Osaka Station
Context triple: [Osaka Station, adjacentStation, Shin-Osaka Station]
  • A. Shin-Osaka Station chosen
    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. Osaka Station
    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.
  • C. 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.
  • D. Kyoto Station
    Kyoto Station is a major railway and transportation hub in Kyoto, Japan, known for its vast, modern architectural complex that integrates trains, buses, shopping, and cultural facilities.
  • E. Namba Station
    Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adjacentStation
Context triple: [Osaka Station, adjacentStation, Shin-Osaka Station]
  • A. isAdjacentTo chosen
    Indicates that one entity is directly next to or bordering another without anything of the same type in between.
  • B. adjacentToInfrastructure
    Indicates that one entity is located directly next to or in immediate proximity to a piece of infrastructure.
  • C. neighboringPort
    Indicates that two ports are geographically close to each other, typically sharing a boundary or lying within a short distance along a coast or waterway.
  • D. stationName
    Indicates the name assigned to a particular station in the relationship.
  • E. primaryStation
    Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
  • F. None of above.

Provenance (4 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_69a4366eb0588190beb5c43828f8ca45 completed March 1, 2026, 12:51 p.m.
PD Predicate disambiguation batch_69a2eddb98e081909efcf9f0a955a908 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.