Triple

T5377927
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasCity P316 FINISHED
Object Fukutsu
Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
 E595400 NE FINISHED

How this triple was built (4 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: Fukutsu | Statement: [Fukuoka Prefecture, hasCity, Fukutsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fukutsu
Context triple: [Fukuoka Prefecture, hasCity, Fukutsu]
  • A. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • E. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fukutsu
Triple: [Fukuoka Prefecture, hasCity, Fukutsu]
Generated description
Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fukutsu
Target entity description: Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
  • A. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • E. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • F. None of above. chosen

Provenance (5 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_69c6536fc20c81909b6c57d559880877 completed March 27, 2026, 9:52 a.m.
NEDg Description generation batch_69c6541014d88190a80baa7f5e94a7d8 completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c655140fbc8190ab8248a9e0c3de71 completed March 27, 2026, 9:59 a.m.
Created at: March 20, 2026, 2:03 p.m.