Triple

T10014931
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Nisshin
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
 E845182 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: Nisshin | Statement: [Aichi Prefecture, containsCity, Nisshin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nisshin
Context triple: [Aichi Prefecture, containsCity, Nisshin]
  • A. Kawanishi
    Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
  • B. Kawanishi
    Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
  • C. Shibaura Futo
    Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • 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: Nisshin
Triple: [Aichi Prefecture, containsCity, Nisshin]
Generated description
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nisshin
Target entity description: Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
  • A. Kawanishi
    Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
  • B. Kawanishi
    Kawanishi was a Japanese aircraft manufacturer best known for producing military seaplanes and bombers for the Imperial Japanese Navy during World War II.
  • C. Shibaura Futo
    Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • 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_69d30020305c81909c4fb01291c70cb6 completed April 6, 2026, 12:36 a.m.
NEDg Description generation batch_69d301dd614481909b357f319ba5e876 completed April 6, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d302978e808190a9f5371a2bf4abce completed April 6, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:52 p.m.