Triple

T21009681
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka-Kitakyushu metropolitan area E517511 entity
Predicate hasMajorCity P316 FINISHED
Object Keisen NE NERFINISHED

How this triple was built (3 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: Keisen | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Keisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keisen
Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Keisen]
  • A. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • B. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Kaisei
    Kaisei is a small town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger urban centers.
  • E. Taketoyo
    Taketoyo is a coastal town in central Japan known for its industrial facilities and location within Aichi Prefecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keisen
Target entity description: Keisen is a town in Fukuoka Prefecture, Japan, that forms part of the greater Fukuoka–Kitakyushu urban region.
  • A. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • B. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • D. Kaisei
    Kaisei is a small town in Kanagawa Prefecture, Japan, known for its residential character and proximity to larger urban centers.
  • E. Taketoyo
    Taketoyo is a coastal town in central Japan known for its industrial facilities and location within Aichi Prefecture.
  • F. None of above. chosen

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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.