Triple

T18125382
Position Surface form Disambiguated ID Type / Status
Subject Icheon E433858 entity
Predicate hasSisterCity P919 FINISHED
Object Seto, Aichi
Seto, Aichi is a Japanese city in Aichi Prefecture renowned as one of Japan’s major centers of ceramics and pottery production.
 E1348243 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: Seto, Aichi | Statement: [Icheon, hasSisterCity, Seto, Aichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seto, Aichi
Context triple: [Icheon, hasSisterCity, Seto, Aichi]
  • A. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • B. Ueda
    Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
  • C. Ichinomiya
    Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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: Seto, Aichi
Triple: [Icheon, hasSisterCity, Seto, Aichi]
Generated description
Seto, Aichi is a Japanese city in Aichi Prefecture renowned as one of Japan’s major centers of ceramics and pottery production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seto, Aichi
Target entity description: Seto, Aichi is a Japanese city in Aichi Prefecture renowned as one of Japan’s major centers of ceramics and pottery production.
  • A. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • B. Ueda
    Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
  • C. Ichinomiya
    Ichinomiya is a city in Aichi Prefecture, Japan, known historically as a textile and commercial center within the Nagoya metropolitan area.
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dded1bd4819080fa362e88c921cf completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05829917e4819093dc8ae6ed4cdb6a completed May 14, 2026, 8:06 a.m.
NEDg Description generation batch_6a05885e976c81909ca84e84920dcc2d completed May 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0588d5399081908a959f47a7ea74d7 completed May 14, 2026, 8:33 a.m.
Created at: April 10, 2026, 10:29 a.m.