Triple

T17045791
Position Surface form Disambiguated ID Type / Status
Subject Hamawaki Onsen district E413564 entity
Predicate partOf P40 FINISHED
Object Beppu Hachiyu 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: Beppu Hachiyu | Statement: [Hamawaki Onsen district, partOf, Beppu Hachiyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beppu Hachiyu
Context triple: [Hamawaki Onsen district, partOf, Beppu Hachiyu]
  • A. Yamatokoriyama
    Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
  • B. Hotsumisakiji-san
    Hotsumisakiji-san is the sacred mountain in Kōchi Prefecture, Japan, on whose slopes the Shikoku Pilgrimage’s 24th temple, Hotsumisakiji, is located.
  • C. Beppu chosen
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • D. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • E. Hokuzan
    Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
Created at: April 10, 2026, 5:33 a.m.