Triple

T10932116
Position Surface form Disambiguated ID Type / Status
Subject Izu Peninsula E258232 entity
Predicate hasTown P847 FINISHED
Object Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
 E1009395 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: Nishiizu | Statement: [Izu Peninsula, hasTown, Nishiizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nishiizu
Context triple: [Izu Peninsula, hasTown, Nishiizu]
  • A. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Ikizu
    The Ikizu are an ethnic group native to northwestern Tanzania, traditionally inhabiting areas within the Kagera Region.
  • D. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • E. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • 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: Nishiizu
Triple: [Izu Peninsula, hasTown, Nishiizu]
Generated description
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nishiizu
Target entity description: Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • A. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Ikizu
    The Ikizu are an ethnic group native to northwestern Tanzania, traditionally inhabiting areas within the Kagera Region.
  • D. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • E. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a616f6e4819096c9850434882548 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a716bb2c81909dccc5ddbf3c92b5 completed May 3, 2026, 1:38 a.m.
Created at: April 8, 2026, 9:23 p.m.