Triple

T2316253
Position Surface form Disambiguated ID Type / Status
Subject Mount Fuji E51069 entity
Predicate nearCity P350 FINISHED
Object Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
 E391972 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: Fujinomiya | Statement: [Mount Fuji, nearCity, Fujinomiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fujinomiya
Context triple: [Mount Fuji, nearCity, Fujinomiya]
  • A. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Higashimurayama
    Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
  • E. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • 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: Fujinomiya
Triple: [Mount Fuji, nearCity, Fujinomiya]
Generated description
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fujinomiya
Target entity description: Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • A. Higashikurume
    Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
  • B. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • C. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • D. Higashimurayama
    Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
  • E. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61e72508190b335cda2c7fef130 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b503cf9f8881908dc371d5acb952cf completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b5047828e881908fe936119a0a2c8e completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b504c5520881909f740275fe6640fb completed March 14, 2026, 6:48 a.m.
Created at: March 4, 2026, 7:49 p.m.