Triple

T5377923
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasCity P316 FINISHED
Object Okawa
Okawa is a city in southwestern Japan known for its traditional woodworking and furniture-making industries within Fukuoka Prefecture.
 E515177 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: Okawa | Statement: [Fukuoka Prefecture, hasCity, Okawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okawa
Context triple: [Fukuoka Prefecture, hasCity, Okawa]
  • A. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • B. Mutaguchi
    Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
  • C. Kamikawa
    Kamikawa is a town in Hokkaido, Japan, known as a gateway to the mountainous landscapes and hot springs of Daisetsuzan National Park.
  • D. Ōhira
    Ōhira is a Japanese surname most notably associated with Masayoshi Ōhira, a former Prime Minister of Japan.
  • E. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • 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: Okawa
Triple: [Fukuoka Prefecture, hasCity, Okawa]
Generated description
Okawa is a city in southwestern Japan known for its traditional woodworking and furniture-making industries within Fukuoka Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okawa
Target entity description: Okawa is a city in southwestern Japan known for its traditional woodworking and furniture-making industries within Fukuoka Prefecture.
  • A. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • B. Mutaguchi
    Mutaguchi Renya was a Japanese general in the Imperial Japanese Army best known for commanding the disastrous Imphal offensive during World War II.
  • C. Kamikawa
    Kamikawa is a town in Hokkaido, Japan, known as a gateway to the mountainous landscapes and hot springs of Daisetsuzan National Park.
  • D. Ōhira
    Ōhira is a Japanese surname most notably associated with Masayoshi Ōhira, a former Prime Minister of Japan.
  • E. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • 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_69bf29465ff0819082c05dbe40a306f3 completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf29e0c9708190ac76c8306b76f0fa completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a93efa88190b641924bb652068c completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:03 p.m.