Triple

T16929093
Position Surface form Disambiguated ID Type / Status
Subject Kyobashi commercial district E410655 entity
Predicate locatedIn P40 FINISHED
Object Chuo, Tokyo 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: Chuo, Tokyo | Statement: [Kyobashi commercial district, locatedIn, Chuo, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuo, Tokyo
Context triple: [Kyobashi commercial district, locatedIn, Chuo, Tokyo]
  • A. Chuo City, Tokyo
    Chuo City, Tokyo is a central ward of Tokyo known for its historic commercial districts like Nihonbashi and Ginza, serving as a major hub for finance, retail, and culture.
  • B. Kōtō, Tokyo
    Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
  • C. Nakano, Tokyo
    Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
  • D. Chūō, Tokyo chosen
    Chūō, Tokyo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi and Ginza.
  • E. Bunkyo, Tokyo
    Bunkyo, Tokyo is a central special ward of Tokyo known for its educational institutions, cultural sites, and major sports venues such as the Tokyo Dome.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
Created at: April 10, 2026, 5:30 a.m.