Triple

T3482694
Position Surface form Disambiguated ID Type / Status
Subject Ikebukuro E73529 entity
Predicate hasArea P175 FINISHED
Object Ikebukuro Higashiguchi E73529 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: Ikebukuro Higashiguchi | Statement: [Ikebukuro, hasArea, Ikebukuro Higashiguchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikebukuro Higashiguchi
Context triple: [Ikebukuro, hasArea, Ikebukuro Higashiguchi]
  • A. Ikebukuro chosen
    Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
  • B. Shinjuku Ni-chome
    Shinjuku Ni-chome is Tokyo’s most famous LGBTQ+ district, known for its dense concentration of gay bars, clubs, and nightlife venues.
  • C. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • D. 千駄ヶ谷
    千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
  • E. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
Created at: March 8, 2026, 3:17 p.m.