Triple

T9343428
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Hibiya Line E224820 entity
Predicate servesDistrict P82 FINISHED
Object Arakawa E307166 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: Arakawa | Statement: [Tokyo Metro Hibiya Line, servesDistrict, Arakawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arakawa
Context triple: [Tokyo Metro Hibiya Line, servesDistrict, Arakawa]
  • A. Arakawa chosen
    Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
  • B. Aikawa
    Aikawa was a former town in Niigata Prefecture, Japan, known historically for its role in the Sado gold and silver mining region before being merged into the city of Sado.
  • C. Aoyama
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99859b5cc81908475fde408802607 completed April 11, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:40 p.m.