Triple

T4873980
Position Surface form Disambiguated ID Type / Status
Subject Oppama, Japan E109155 entity
Predicate partOf P40 FINISHED
Object Yokosuka, Kanagawa E281970 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: Yokosuka, Kanagawa | Statement: [Oppama, Japan, partOf, Yokosuka, Kanagawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokosuka, Kanagawa
Context triple: [Oppama, Japan, partOf, Yokosuka, Kanagawa]
  • A. Ōiso, Kanagawa
    Ōiso, Kanagawa is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former retreat for prominent political figures such as Prime Minister Shigeru Yoshida.
  • B. Yokosuka chosen
    Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
  • C. Kawasaki, Kanagawa
    Kawasaki, Kanagawa is a major industrial and residential city in Kanagawa Prefecture, Japan, situated between Tokyo and Yokohama along the Tama River.
  • D. Yokosuka, Kanagawa, Japan
    Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
  • E. Shizuoka
    Shizuoka is a coastal city in central Japan known for its views of Mount Fuji, green tea production, and role as the capital of Shizuoka Prefecture.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9235e7b8819084fd9eb7c794e0e3 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:27 p.m.