Triple

T601807
Position Surface form Disambiguated ID Type / Status
Subject Korea Strait E11508 entity
Predicate hasMajorPortNearby P5648 FINISHED
Object Kitakyushu E182027 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: Kitakyushu | Statement: [Korea Strait, hasMajorPortNearby, Kitakyushu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitakyushu
Context triple: [Korea Strait, hasMajorPortNearby, Kitakyushu]
  • A. Kitakyushu chosen
    Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
  • B. Fukuoka
    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.
  • C. Takamatsu
    Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
  • D. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • E. Kumamoto
    Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69aef058e1188190963e48b37cb0bb12 completed March 9, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:35 p.m.