Triple

T9450152
Position Surface form Disambiguated ID Type / Status
Subject Ōita Prefecture E227866 entity
Predicate contains P35 FINISHED
Object Beppu E87326 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: Beppu | Statement: [Ōita Prefecture, contains, Beppu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beppu
Context triple: [Ōita Prefecture, contains, Beppu]
  • A. Beppu chosen
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • B. Minamisaiwai
    Minamisaiwai is a commercial and business district in Nishi Ward, Yokohama, known for its shopping facilities and proximity to Yokohama Station.
  • C. Beppu Bay
    Beppu Bay is a coastal bay in Ōita Prefecture on Japan’s Kyushu Island, known for its scenic shoreline and proximity to the hot spring resort city of Beppu.
  • D. Sakurajima
    Sakurajima is an active stratovolcano in Kagoshima Prefecture, Japan, known for its frequent eruptions and dramatic presence in Kagoshima Bay.
  • E. Takachiho
    Takachiho is a town in Miyazaki Prefecture, Japan, famed in mythology as a sacred site of the Japanese creation legends and early imperial origins.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:51 p.m.