Triple

T8655300
Position Surface form Disambiguated ID Type / Status
Subject Asago E205398 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
E792124 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: Kamigōri | Statement: [Asago, hasNeighboringMunicipality, Kamigōri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamigōri
Context triple: [Asago, hasNeighboringMunicipality, Kamigōri]
  • A. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • B. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • E. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • 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: Kamigōri
Triple: [Asago, hasNeighboringMunicipality, Kamigōri]
Generated description
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamigōri
Target entity description: Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
  • A. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • B. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • C. Shinya
    Shinya is a Japanese given name commonly used for males.
  • D. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • E. Itagaki
    Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4844586081909b687e278496eefa completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c696913c819089f29ec899d4ee61 completed April 4, 2026, 8:06 a.m.
NEDg Description generation batch_69d0c976a0308190ba66990fe0a3f33e completed April 4, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69d0ce28aaf48190a1e6b4040353c6b9 completed April 4, 2026, 8:39 a.m.
Created at: March 30, 2026, 6:29 p.m.