Triple

T17848122
Position Surface form Disambiguated ID Type / Status
Subject Daikan-yama Station E445717 entity
Predicate locatedIn P40 FINISHED
Object Daikanyama neighborhood 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: Daikanyama neighborhood | Statement: [Daikan-yama Station, locatedIn, Daikanyama neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daikanyama neighborhood
Context triple: [Daikan-yama Station, locatedIn, Daikanyama neighborhood]
  • A. Kagurazaka neighborhood
    Kagurazaka neighborhood is a historic Tokyo district known for its preserved geisha houses, narrow cobblestone alleys, and blend of traditional Japanese culture with chic boutiques and French-influenced cafes.
  • B. Nezu neighborhood
    Nezu neighborhood is a traditional residential area in Tokyo’s Bunkyō ward known for its historic streets, old wooden houses, and the famous Nezu Shrine.
  • C. Yanaka neighborhood
    Yanaka neighborhood is a historic, temple-filled district in Tokyo known for its preserved old-town atmosphere, narrow lanes, and traditional shops.
  • D. Kawaramachi area
    The Kawaramachi area is a bustling commercial and entertainment district in central Kyoto known for its shopping streets, restaurants, and proximity to traditional nightlife alleys like Pontocho.
  • E. Tanimachi area
    The Tanimachi area is a central Osaka district known for its government offices, business centers, and convenient access to major historical and commercial sites.
  • 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: Daikanyama neighborhood
Target entity description: Daikanyama neighborhood is a trendy, upscale district in Tokyo known for its stylish boutiques, chic cafés, and relaxed, residential atmosphere.
  • A. Kagurazaka neighborhood
    Kagurazaka neighborhood is a historic Tokyo district known for its preserved geisha houses, narrow cobblestone alleys, and blend of traditional Japanese culture with chic boutiques and French-influenced cafes.
  • B. Nezu neighborhood
    Nezu neighborhood is a traditional residential area in Tokyo’s Bunkyō ward known for its historic streets, old wooden houses, and the famous Nezu Shrine.
  • C. Yanaka neighborhood
    Yanaka neighborhood is a historic, temple-filled district in Tokyo known for its preserved old-town atmosphere, narrow lanes, and traditional shops.
  • D. Kawaramachi area
    The Kawaramachi area is a bustling commercial and entertainment district in central Kyoto known for its shopping streets, restaurants, and proximity to traditional nightlife alleys like Pontocho.
  • E. Tanimachi area
    The Tanimachi area is a central Osaka district known for its government offices, business centers, and convenient access to major historical and commercial sites.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.