Triple

T10932113
Position Surface form Disambiguated ID Type / Status
Subject Izu Peninsula E258232 entity
Predicate hasTown P847 FINISHED
Object Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
E999933 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: Izu | Statement: [Izu Peninsula, hasTown, Izu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izu
Context triple: [Izu Peninsula, hasTown, Izu]
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • C. Irai
    Irai is a small commune in northern France, located within the Eure department in the Normandy region.
  • D. Ikizu
    The Ikizu are an ethnic group native to northwestern Tanzania, traditionally inhabiting areas within the Kagera Region.
  • E. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • 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: Izu
Triple: [Izu Peninsula, hasTown, Izu]
Generated description
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Izu
Target entity description: Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • C. Irai
    Irai is a small commune in northern France, located within the Eure department in the Normandy region.
  • D. Ikizu
    The Ikizu are an ethnic group native to northwestern Tanzania, traditionally inhabiting areas within the Kagera Region.
  • E. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • 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_69f67c5a9dc881909b695f7e87dfcdf6 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 8, 2026, 9:23 p.m.