Triple

T10014951
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Toyone
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
 E836264 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: Toyone | Statement: [Aichi Prefecture, containsCity, Toyone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toyone
Context triple: [Aichi Prefecture, containsCity, Toyone]
  • A. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • B. Toyen
    Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
  • C. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • D. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • E. Verdy Kawasaki
    Verdy Kawasaki was the former name of Tokyo Verdy, one of Japan’s most historic professional football clubs.
  • 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: Toyone
Triple: [Aichi Prefecture, containsCity, Toyone]
Generated description
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toyone
Target entity description: Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
  • A. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • B. Toyen
    Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
  • C. Aoto
    Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
  • D. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • E. Verdy Kawasaki
    Verdy Kawasaki was the former name of Tokyo Verdy, one of Japan’s most historic professional football clubs.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.