Triple

T10014938
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Tōgō
Tōgō is a town in central Japan known as a residential community within the Greater Nagoya metropolitan area.
 E836705 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: Tōgō | Statement: [Aichi Prefecture, containsCity, Tōgō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tōgō
Context triple: [Aichi Prefecture, containsCity, Tōgō]
  • A. Onekotan
    Onekotan is a remote volcanic island in Russia's Kuril Islands chain, known for its dramatic caldera lakes and rugged, uninhabited landscape.
  • B. 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.
  • C. Iōtō
    Iōtō, historically known as Iwo Jima, is a small Japanese volcanic island in the Pacific Ocean famous as a major World War II battlefield and the site of the iconic U.S. flag-raising photograph.
  • D. Nan’yō Chō
    Nan’yō Chō was the Japanese colonial administration that governed the South Seas Mandate islands in the Pacific during the early 20th century.
  • E. Iwakura
    Iwakura is a Japanese surname most famously associated with Iwakura Tomomi, a key statesman of the Meiji Restoration.
  • 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: Tōgō
Triple: [Aichi Prefecture, containsCity, Tōgō]
Generated description
Tōgō is a town in central Japan known as a residential community within the Greater Nagoya metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tōgō
Target entity description: Tōgō is a town in central Japan known as a residential community within the Greater Nagoya metropolitan area.
  • A. Onekotan
    Onekotan is a remote volcanic island in Russia's Kuril Islands chain, known for its dramatic caldera lakes and rugged, uninhabited landscape.
  • B. 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.
  • C. Iōtō
    Iōtō, historically known as Iwo Jima, is a small Japanese volcanic island in the Pacific Ocean famous as a major World War II battlefield and the site of the iconic U.S. flag-raising photograph.
  • D. Nan’yō Chō
    Nan’yō Chō was the Japanese colonial administration that governed the South Seas Mandate islands in the Pacific during the early 20th century.
  • E. Iwakura
    Iwakura is a Japanese surname most famously associated with Iwakura Tomomi, a key statesman of the Meiji Restoration.
  • 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_69d2821b22488190913d743bc40a4c8e completed April 5, 2026, 3:39 p.m.
NEDg Description generation batch_69d2834f6d488190812f91a5b4971c1e completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d28432d900819091ff0d324a6bb28a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:52 p.m.