Triple

T17824020
Position Surface form Disambiguated ID Type / Status
Subject Sendagaya Station E445064 entity
Predicate servesArea P82 FINISHED
Object Sendagaya district NE NERFINISHED

How this triple was built (3 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: Sendagaya district | Statement: [Sendagaya Station, servesArea, Sendagaya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendagaya district
Context triple: [Sendagaya Station, servesArea, Sendagaya district]
  • A. Sugamo district
    Sugamo district is a neighborhood in Tokyo’s Toshima ward known for its traditional shopping street and popularity among older residents, often nicknamed the “Harajuku for old ladies.”
  • B. Shinsen district
    Shinsen district is a neighborhood in Tokyo, Japan, known for its proximity to Shibuya and its mix of residential streets, small eateries, and nightlife spots.
  • C. Nezu district
    Nezu district is a historic neighborhood in Tokyo, Japan, known for its traditional atmosphere, old temples and shrines, and preserved shitamachi (downtown) charm.
  • D. Senju district
    Senju district is a historic neighborhood in Adachi, Tokyo, known for its traditional shopping streets, residential areas, and role as a local commercial hub.
  • E. Jujo district
    Jujo district is a neighborhood in Kita Ward, Tokyo, known for its traditional shopping streets, dense residential areas, and convenient rail access.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sendagaya district
Target entity description: Sendagaya district is a neighborhood in Shibuya, Tokyo, known for its mix of residential areas, sports and cultural facilities, and proximity to major parks like Shinjuku Gyoen.
  • A. Sugamo district
    Sugamo district is a neighborhood in Tokyo’s Toshima ward known for its traditional shopping street and popularity among older residents, often nicknamed the “Harajuku for old ladies.”
  • B. Shinsen district
    Shinsen district is a neighborhood in Tokyo, Japan, known for its proximity to Shibuya and its mix of residential streets, small eateries, and nightlife spots.
  • C. Nezu district
    Nezu district is a historic neighborhood in Tokyo, Japan, known for its traditional atmosphere, old temples and shrines, and preserved shitamachi (downtown) charm.
  • D. Senju district
    Senju district is a historic neighborhood in Adachi, Tokyo, known for its traditional shopping streets, residential areas, and role as a local commercial hub.
  • E. Jujo district
    Jujo district is a neighborhood in Kita Ward, Tokyo, known for its traditional shopping streets, dense residential areas, and convenient rail access.
  • F. None of above. chosen

Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891352ac8190ad3d669fea1c9fbb completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.