Triple

T534880
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka High Court E12303 entity
Predicate region P40 FINISHED
Object Kyushu E13149 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: Kyushu | Statement: [Fukuoka High Court, region, Kyushu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyushu
Context triple: [Fukuoka High Court, region, Kyushu]
  • A. Kyushu chosen
    Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
  • B. Shikoku
    Shikoku is the smallest of Japan’s four main islands, known for its mountainous landscapes, traditional rural culture, and the famous 88-temple Buddhist pilgrimage route.
  • C. Honshu
    Honshu is the largest and most populous island of Japan, home to major cities such as Tokyo, Osaka, and Kyoto.
  • D. Hokkaido
    Hokkaido is Japan’s northernmost main island, known for its cold climate, vast natural landscapes, and popular ski resorts.
  • E. Kagoshima Prefecture
    Kagoshima Prefecture is a southern Japanese prefecture on Kyushu known for its active volcano Sakurajima, hot springs, and subtropical island landscapes.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496d904408190a2ed16c839017623 completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf39f5694819086fcdbd27fa2ea4b completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:32 p.m.