Triple

T19825432
Position Surface form Disambiguated ID Type / Status
Subject Mount Haruna caldera E476310 entity
Predicate near P350 FINISHED
Object Takasaki, Gunma 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: Takasaki, Gunma | Statement: [Mount Haruna caldera, near, Takasaki, Gunma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takasaki, Gunma
Context triple: [Mount Haruna caldera, near, Takasaki, Gunma]
  • A. Takasaki
    Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
  • B. Takasaki, Gunma Prefecture, Japan chosen
    Takasaki is a city in Japan’s Gunma Prefecture known as a regional commercial and transport hub and for landmarks such as the giant Byakue Kannon statue and Daruma doll production.
  • C. Asaka, Saitama
    Asaka is a suburban city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
  • D. Wako, Saitama
    Wako, Saitama is a city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter town within the Greater Tokyo Area.
  • E. Kusatsu, Gunma
    Kusatsu, Gunma is a renowned hot spring resort town in Gunma Prefecture, Japan, famous for its high-volume, highly acidic thermal waters and traditional onsen culture.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656c9e7348190a569a40bd1fca6ba completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.