Triple

T1152020
Position Surface form Disambiguated ID Type / Status
Subject JR Saikyo Line E23696 entity
Predicate servesStation P839 FINISHED
Object Shibuya Station E25657 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: Shibuya Station | Statement: [JR Saikyo Line, servesStation, Shibuya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya Station
Context triple: [JR Saikyo Line, servesStation, Shibuya Station]
  • A. Shibuya Station chosen
    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.
  • B. Shinjuku Station
    Shinjuku Station is one of the world’s busiest railway hubs, serving as a major commercial and transportation center in Tokyo, Japan.
  • C. Harajuku Station
    Harajuku Station is a major railway station in Tokyo’s Shibuya ward, best known as a gateway to the Harajuku fashion district and nearby Meiji Shrine.
  • D. Higashi-Shinjuku Station
    Higashi-Shinjuku Station is an underground railway station in Tokyo’s Shinjuku ward that serves as a transit hub on multiple subway lines.
  • E. 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.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69af6523d8f4819082396925561acdc4 completed March 10, 2026, 12:26 a.m.
Created at: March 1, 2026, 7:44 p.m.