Triple

T7877652
Position Surface form Disambiguated ID Type / Status
Subject New South Exit E182897 entity
Predicate partOf P40 FINISHED
Object Shinjuku Station E34446 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: Shinjuku Station | Statement: [New South Exit, partOf, Shinjuku Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinjuku Station
Context triple: [New South Exit, partOf, Shinjuku Station]
  • A. Shinjuku Station chosen
    Shinjuku Station is one of the world’s busiest railway hubs, serving as a major commercial and transportation center in Tokyo, Japan.
  • B. 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.
  • C. 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.
  • D. Akasaka Station
    Akasaka Station is a Tokyo Metro subway station in Tokyo’s Minato ward, serving as a key stop on the Chiyoda Line in a major business and entertainment district.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bc07208190aa452cef8ca5b0d6 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d12cabbb088190bada143db831c466 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 4:57 p.m.