Triple

T4865943
Position Surface form Disambiguated ID Type / Status
Subject Nipponbashi E108769 entity
Predicate transportConnection P1298 FINISHED
Object Ebisucho 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: Ebisucho Station | Statement: [Nipponbashi, transportConnection, Ebisucho Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebisucho Station
Context triple: [Nipponbashi, transportConnection, Ebisucho Station]
  • A. 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.
  • B. 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.
  • C. Bashamichi Station
    Bashamichi Station is an underground railway station in Yokohama, Japan, providing access to the Minato Mirai waterfront district and surrounding urban attractions.
  • D. Homachi Station
    Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
  • E. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623a9711081908eac4238a717305c completed April 20, 2026, 1:01 p.m.
Created at: March 20, 2026, 1:26 p.m.