Triple

T11745298
Position Surface form Disambiguated ID Type / Status
Subject Konohana-ku, Osaka E279263 entity
Predicate hasLandmark P105 FINISHED
Object Sakurajima area E495160 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: Sakurajima area | Statement: [Konohana-ku, Osaka, hasLandmark, Sakurajima area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakurajima area
Context triple: [Konohana-ku, Osaka, hasLandmark, Sakurajima area]
  • A. Mount Ishizuchi area
    The Mount Ishizuchi area is a mountainous region in western Japan centered around Mount Ishizuchi, one of the country’s most prominent and sacred peaks.
  • B. Norikura Volcanic Zone
    The Norikura Volcanic Zone is a major segment of Japan’s volcanic arc system in central Honshu, characterized by numerous stratovolcanoes and geothermal activity.
  • C. Sakurajima
    Sakurajima is an active stratovolcano in Kagoshima Prefecture, Japan, known for its frequent eruptions and dramatic presence in Kagoshima Bay.
  • D. Iwakura area
    The Iwakura area is a residential and historically rich district in northern Kyoto, known for its temples, shrines, and scenic mountain surroundings.
  • E. Sakishima (Nanko) area chosen
    The Sakishima (Nanko) area is a waterfront district in Osaka known for its modern business centers, exhibition halls, and entertainment facilities.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.