Triple

T5377925
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Prefecture E113007 entity
Predicate hasCity P316 FINISHED
Object Asakura
Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
 E519176 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: Asakura | Statement: [Fukuoka Prefecture, hasCity, Asakura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asakura
Context triple: [Fukuoka Prefecture, hasCity, Asakura]
  • A. Sadozai
    Sadozai is a Pashtun royal dynasty and clan historically associated with the founding rulers of the Durrani Empire in Afghanistan.
  • B. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • C. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • D. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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: Asakura
Triple: [Fukuoka Prefecture, hasCity, Asakura]
Generated description
Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asakura
Target entity description: Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
  • A. Sadozai
    Sadozai is a Pashtun royal dynasty and clan historically associated with the founding rulers of the Durrani Empire in Afghanistan.
  • B. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • C. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • D. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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_69bf3a96fba481909659b13425951068 completed March 22, 2026, 12:40 a.m.
NEDg Description generation batch_69bf3bb122c881909556522c986d6783 completed March 22, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c1ad4d8819093aeb94f62eb1086 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:03 p.m.