Triple

T10947159
Position Surface form Disambiguated ID Type / Status
Subject Fuji-Hakone-Izu National Park E258626 entity
Predicate contains P35 FINISHED
Object Shimoda E849021 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: Shimoda | Statement: [Fuji-Hakone-Izu National Park, contains, Shimoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimoda
Context triple: [Fuji-Hakone-Izu National Park, contains, Shimoda]
  • A. Shimoda chosen
    Shimoda is a coastal city on Japan’s Izu Peninsula historically significant as one of the first ports opened to the United States in the mid-19th century.
  • B. Kamaishi
    Kamaishi is a coastal city in northeastern Japan known for its historic iron and steel industry and as a venue for the 2019 Rugby World Cup.
  • C. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • D. Tsuruga
    Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
  • E. Isahaya
    Isahaya is a city in southwestern Japan known for its agricultural production, historical flood-control projects, and proximity to Nagasaki City.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2818ec8190ae926a0ffdeb7bb7 completed May 9, 2026, 3 p.m.
Created at: April 8, 2026, 9:23 p.m.