Triple

T3078299
Position Surface form Disambiguated ID Type / Status
Subject Rikken Kaishintō E64192 entity
Predicate mergedInto P77 FINISHED
Object Shimpotō
Shimpotō was a late 19th-century Japanese political party that emerged from liberal reformist movements during the Meiji period.
E450456 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: Shimpotō | Statement: [Rikken Kaishintō, mergedInto, Shimpotō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimpotō
Context triple: [Rikken Kaishintō, mergedInto, Shimpotō]
  • A. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • B. Etajima
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • C. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • D. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • E. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • 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: Shimpotō
Triple: [Rikken Kaishintō, mergedInto, Shimpotō]
Generated description
Shimpotō was a late 19th-century Japanese political party that emerged from liberal reformist movements during the Meiji period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shimpotō
Target entity description: Shimpotō was a late 19th-century Japanese political party that emerged from liberal reformist movements during the Meiji period.
  • A. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • B. Etajima
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • C. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • D. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • E. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacb883188190a213986b2816cde2 completed March 20, 2026, 8:23 p.m.
NEDg Description generation batch_69bdad4e4a6c81908b5fabc7b0ec82b2 completed March 20, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_69bdadad12fc81908a2424e353eeca34 completed March 20, 2026, 8:27 p.m.
Created at: March 8, 2026, 3:02 p.m.