Triple

T20057567
Position Surface form Disambiguated ID Type / Status
Subject Nishitetsu bus network E499380 entity
Predicate locatedIn P40 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: [Nishitetsu bus network, locatedIn, Fukuoka City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukuoka City
Context triple: [Nishitetsu bus network, locatedIn, 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. 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.
  • E. Kurume
    Kurume is a mid-sized city in southwestern Japan known for its traditional textile industry, ramen culture, and location along the Chikugo River in Fukuoka Prefecture.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.