Triple

T13956096
Position Surface form Disambiguated ID Type / Status
Subject Marunouchi E335664 entity
Predicate adjacentTo P224 FINISHED
Object Yurakucho E634386 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: Yurakucho | Statement: [Marunouchi, adjacentTo, Yurakucho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yurakucho
Context triple: [Marunouchi, adjacentTo, Yurakucho]
  • A. Yurakucho chosen
    Yurakucho is a lively commercial and entertainment district in central Tokyo known for its shopping complexes, theaters, and atmospheric izakaya alleys beneath the railway tracks.
  • B. Hamamatsucho
    Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
  • C. Nishi-Ikebukuro
    Nishi-Ikebukuro is a neighborhood in Tokyo known as the western part of the Ikebukuro area, featuring a mix of residential streets, commercial facilities, and educational institutions.
  • D. Itabashi
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • E. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d196d88190a8fa54468b2de1bb completed May 9, 2026, 9:43 a.m.
Created at: April 9, 2026, 10:17 p.m.