Triple

T9319484
Position Surface form Disambiguated ID Type / Status
Subject Kumamoto Prefecture E224208 entity
Predicate contains P35 FINISHED
Object Kikuchi
Kikuchi is a city in Japan known for its hot springs, scenic rural landscapes, and historical sites in Kumamoto Prefecture.
 E879641 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: Kikuchi | Statement: [Kumamoto Prefecture, contains, Kikuchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kikuchi
Context triple: [Kumamoto Prefecture, contains, Kikuchi]
  • A. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • D. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • E. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • 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: Kikuchi
Triple: [Kumamoto Prefecture, contains, Kikuchi]
Generated description
Kikuchi is a city in Japan known for its hot springs, scenic rural landscapes, and historical sites in Kumamoto Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kikuchi
Target entity description: Kikuchi is a city in Japan known for its hot springs, scenic rural landscapes, and historical sites in Kumamoto Prefecture.
  • A. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • B. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • C. Kujūkuri
    Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
  • D. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • E. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98801deb8819092a45193078f09b4 completed April 10, 2026, 11:30 p.m.
NEDg Description generation batch_69d98ae8403c81908a229aa06bd0388a completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98ce9ba0c8190a7c62fa670e23705 completed April 10, 2026, 11:51 p.m.
Created at: March 30, 2026, 7:38 p.m.