Triple

T2327795
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefecture E48329 entity
Predicate hasCity P316 FINISHED
Object Sayama
Sayama is a city in central Saitama Prefecture, Japan, known for its tea production and suburban residential character within the Greater Tokyo area.
 E347782 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: Sayama | Statement: [Saitama Prefecture, hasCity, Sayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sayama
Context triple: [Saitama Prefecture, hasCity, Sayama]
  • A. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • B. Inamori
    Inamori is a Japanese surname most prominently associated with Kazuo Inamori, the influential entrepreneur, philanthropist, and founder of Kyocera and KDDI.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yoroshima
    Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • 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: Sayama
Triple: [Saitama Prefecture, hasCity, Sayama]
Generated description
Sayama is a city in central Saitama Prefecture, Japan, known for its tea production and suburban residential character within the Greater Tokyo area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sayama
Target entity description: Sayama is a city in central Saitama Prefecture, Japan, known for its tea production and suburban residential character within the Greater Tokyo area.
  • A. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • B. Inamori
    Inamori is a Japanese surname most prominently associated with Kazuo Inamori, the influential entrepreneur, philanthropist, and founder of Kyocera and KDDI.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Yoroshima
    Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
  • E. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b319875d7c8190a43b3efd7d1e54c8 completed March 12, 2026, 7:52 p.m.
NEDg Description generation batch_69b31aa3c8cc81909106baf503c9087b completed March 12, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_69b31be1b1708190a2ca9e97110d51d3 completed March 12, 2026, 8:02 p.m.
Created at: March 4, 2026, 7:50 p.m.