Triple

T16537211
Position Surface form Disambiguated ID Type / Status
Subject Suginami E401722 entity
Predicate contains P35 FINISHED
Object Izumi
Izumi is a neighborhood located within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
E1239182 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: Izumi | Statement: [Suginami, contains, Izumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Izumi
Context triple: [Suginami, contains, Izumi]
  • A. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • B. Chikuma
    Chikuma was a Japanese Imperial Navy heavy cruiser that served prominently in World War II, including major Pacific naval battles.
  • C. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • D. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • E. Ayagawa
    Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
  • 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: Izumi
Triple: [Suginami, contains, Izumi]
Generated description
Izumi is a neighborhood located within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Izumi
Target entity description: Izumi is a neighborhood located within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
  • A. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • B. Chikuma
    Chikuma was a Japanese Imperial Navy heavy cruiser that served prominently in World War II, including major Pacific naval battles.
  • C. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • D. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • E. Ayagawa
    Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c794355881908fdec356d12a5635 completed May 10, 2026, 5:59 p.m.
NEDg Description generation batch_6a00c820f0a0819084348f8490d6c7e5 completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c88213988190b2d8f80d0fa9d15f completed May 10, 2026, 6:03 p.m.
Created at: April 10, 2026, 5:15 a.m.