Triple

T15027230
Position Surface form Disambiguated ID Type / Status
Subject Kushiro Subprefecture E378248 entity
Predicate contains P35 FINISHED
Object Shibecha
Shibecha is a rural town in eastern Hokkaido, Japan, known for its dairy farming and proximity to the Kushiro Shitsugen wetlands.
 E1149838 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: Shibecha | Statement: [Kushiro Subprefecture, contains, Shibecha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shibecha
Context triple: [Kushiro Subprefecture, contains, Shibecha]
  • A. Ebisucho
    Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
  • B. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • C. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Shiroishi
    Shiroishi is a Japanese city in Miyagi Prefecture known for Shiroishi Castle and its historical connection to the samurai era.
  • 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: Shibecha
Triple: [Kushiro Subprefecture, contains, Shibecha]
Generated description
Shibecha is a rural town in eastern Hokkaido, Japan, known for its dairy farming and proximity to the Kushiro Shitsugen wetlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shibecha
Target entity description: Shibecha is a rural town in eastern Hokkaido, Japan, known for its dairy farming and proximity to the Kushiro Shitsugen wetlands.
  • A. Ebisucho
    Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
  • B. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • C. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • D. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • E. Shiroishi
    Shiroishi is a Japanese city in Miyagi Prefecture known for Shiroishi Castle and its historical connection to the samurai era.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef888a7988190837f3f4b8d340e04 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa54397c81909c9bfb8c0553b3d1 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb04d7e4819084ac10e05dccb3e3 completed May 9, 2026, 9:14 a.m.
Created at: April 10, 2026, 2:58 a.m.