Triple

T1221748
Position Surface form Disambiguated ID Type / Status
Subject Omotesando E26236 entity
Predicate near P350 FINISHED
Object Meiji-jingumae Station E186277 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: Meiji-jingumae Station | Statement: [Omotesando, near, Meiji-jingumae Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meiji-jingumae Station
Context triple: [Omotesando, near, Meiji-jingumae Station]
  • A. Meiji-jingumae Station chosen
    Meiji-jingumae Station is a major Tokyo subway station in the Harajuku/Meiji Shrine area, serving as a key access point to popular shopping and cultural districts.
  • B. Omotesando Station
    Omotesando Station is a major Tokyo subway hub in the fashionable Omotesandō district, serving multiple lines and providing access to upscale shopping and cultural attractions.
  • C. Itabashi Station
    Itabashi Station is a railway station in Tokyo, Japan, known as a stop on major commuter lines connecting central Tokyo with its northern suburbs.
  • D. Komagome Station
    Komagome Station is a railway station in Tokyo, Japan, served by JR East and the Tokyo Metro, providing access to the residential and commercial areas of the Komagome district.
  • E. Nippori Station
    Nippori Station is a major railway hub in Tokyo’s Arakawa ward, serving multiple JR lines and the Keisei Skyliner with convenient access to both central Tokyo and Narita Airport.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be206c108190bb8a5d44fc516c98 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b528071e488190ac531404dac9587c completed March 14, 2026, 9:19 a.m.
Created at: March 1, 2026, 7:47 p.m.