Triple

T16537212
Position Surface form Disambiguated ID Type / Status
Subject Suginami E401722 entity
Predicate contains P35 FINISHED
Object Omiya
Omiya is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
 E1529627 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: Omiya | Statement: [Suginami, contains, Omiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Omiya
Context triple: [Suginami, contains, Omiya]
  • A. Omiya
    Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
  • B. Ojiya
    Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
  • C. Utsunomiya
    Utsunomiya is a city in Tochigi Prefecture, Japan, known as a regional commercial center and for its specialty gyoza (dumplings).
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • 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: Omiya
Triple: [Suginami, contains, Omiya]
Generated description
Omiya is a neighborhood 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: Omiya
Target entity description: Omiya is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
  • A. Omiya
    Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
  • B. Ojiya
    Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
  • C. Utsunomiya
    Utsunomiya is a city in Tochigi Prefecture, Japan, known as a regional commercial center and for its specialty gyoza (dumplings).
  • D. Kisarazu
    Kisarazu is a coastal city in Chiba Prefecture, Japan, known as the mainland terminus of the Tokyo Bay Aqua-Line expressway.
  • E. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • 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_6a0acc773908819084b8d3ef0479e796 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0ace6ec8148190b1f7ee9fb92ff258 completed May 18, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0acee5344481909a5813dca11c4500 completed May 18, 2026, 8:33 a.m.
Created at: April 10, 2026, 5:15 a.m.