Triple

T3166422
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro Midosuji Line E66221 entity
Predicate connects P390 FINISHED
Object Abiko Station E526603 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: Abiko Station | Statement: [Osaka Metro Midosuji Line, connects, Abiko Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abiko Station
Context triple: [Osaka Metro Midosuji Line, connects, Abiko Station]
  • A. Ebisu Station
    Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
  • B. Shindaita Station
    Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
  • C. Ebisucho Station chosen
    Ebisucho Station is a railway station in Osaka, Japan, serving as a convenient access point to the Shinsekai entertainment district and nearby attractions.
  • D. Hiroo Station
    Hiroo Station is a subway station in Tokyo, Japan, serving the Hiroo district on the Tokyo Metro Hibiya Line.
  • E. Bashamichi Station
    Bashamichi Station is an underground railway station in Yokohama, Japan, providing access to the Minato Mirai waterfront district and surrounding urban attractions.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9cbcc02fc8190b0f9049dffc22021 completed March 30, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:06 p.m.