Triple

T5377945
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasMajorPort P942 FINISHED
Object Port of Hakata E116728 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: Port of Hakata | Statement: [Fukuoka Prefecture, hasMajorPort, Port of Hakata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Hakata
Context triple: [Fukuoka Prefecture, hasMajorPort, Port of Hakata]
  • A. Port of Moji
    The Port of Moji is a historic Japanese seaport in Kitakyushu that serves as a key maritime gateway and transport hub at the Kanmon Straits between Honshu and Kyushu.
  • B. Port of Sakai-Semboku
    The Port of Sakai-Semboku is a major industrial and commercial seaport in the Osaka metropolitan area, serving as a key logistics hub for maritime trade in western Japan.
  • C. Hakata Port chosen
    Hakata Port is a major international seaport in Fukuoka, Japan, serving as a key gateway for passenger ferries and cargo between Kyushu, the rest of Japan, and East Asia.
  • D. Port of Nagoya
    The Port of Nagoya is Japan’s busiest and largest trading port, serving as a major hub for automobile exports and international maritime commerce.
  • E. Port of Amagasaki
    The Port of Amagasaki is a major industrial and commercial seaport in Hyōgo Prefecture, Japan, serving the Kansai region with cargo handling and maritime logistics 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334fb498819089a33be56fa47a01 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.