Triple

T22470109
Position Surface form Disambiguated ID Type / Status
Subject Koga E555473 entity
Predicate hasConvenientAccessTo P85349 FINISHED
Object Fukuoka City 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: Fukuoka City | Statement: [Koga, hasConvenientAccessTo, Fukuoka City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukuoka City
Context triple: [Koga, hasConvenientAccessTo, Fukuoka City]
  • A. Fukuoka chosen
    Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
  • B. Kitakyushu
    Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
  • C. Shimonoseki City
    Shimonoseki City is a coastal city in Yamaguchi Prefecture, Japan, known as a major gateway between Honshu and Kyushu and for its historic role in maritime trade and the First Sino-Japanese War.
  • D. Fukuyama City
    Fukuyama City is a coastal city in Hiroshima Prefecture, Japan, known for its historic castle, traditional port areas like Tomonoura, and its role as a regional industrial and cultural center.
  • E. Kōchi City
    Kōchi City is a coastal city on Japan’s Shikoku island known for its historic castle, markets like Hirome Ichiba, and scenic rivers and mountains.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdeae9c8190a5b66e540484db37 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.