Triple

T16039517
Position Surface form Disambiguated ID Type / Status
Subject Yokohama metropolitan area E389057 entity
Predicate hasMajorCity P316 FINISHED
Object Sagamihara 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: Sagamihara | Statement: [Yokohama metropolitan area, hasMajorCity, Sagamihara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagamihara
Context triple: [Yokohama metropolitan area, hasMajorCity, Sagamihara]
  • A. Sagamihara chosen
    Sagamihara is a major city in Kanagawa Prefecture, Japan, known as a residential and industrial hub within the Greater Tokyo metropolitan area.
  • B. Fujisawa
    Fujisawa is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, proximity to Enoshima Island, and role as a popular Shōnan resort and commuter hub.
  • C. Fujisawa
    Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
  • D. Chiba
    Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
  • E. Shinagawa City
    Shinagawa City is a special ward in Tokyo, Japan, known as a major commercial and transportation hub with a mix of business districts and 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833f84188190baa3a452df880284 completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:56 a.m.