Triple

T17240086
Position Surface form Disambiguated ID Type / Status
Subject Koishikawa E418467 entity
Predicate locatedNear P294 FINISHED
Object Suidōbashi area NE NERFINISHED

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: Suidōbashi area | Statement: [Koishikawa, locatedNear, Suidōbashi area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suidōbashi area
Context triple: [Koishikawa, locatedNear, Suidōbashi area]
  • A. Suidobashi area chosen
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • B. Nijūbashi area
    The Nijūbashi area is the famous double-bridge and surrounding grounds at the main entrance to Tokyo’s Imperial Palace, known as one of Japan’s most iconic and photographed historic vistas.
  • C. Tsuruhashi area
    The Tsuruhashi area is a bustling Osaka neighborhood famous for its large Koreatown, vibrant markets, and numerous yakiniku and Korean restaurants.
  • D. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • E. Kōjimachi area
    The Kōjimachi area is a central Tokyo district known for its mix of government offices, corporate headquarters, and upscale residential neighborhoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
Created at: April 10, 2026, 5:39 a.m.