Triple

T8134721
Position Surface form Disambiguated ID Type / Status
Subject Ozawa E189940 entity
Predicate variantSpelling P457 FINISHED
Object Osawa
Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
E770834 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: Osawa | Statement: [Ozawa, variantSpelling, Osawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osawa
Context triple: [Ozawa, variantSpelling, Osawa]
  • A. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • B. Suginami
    Suginami is a residential ward in western Tokyo, Japan, known for its quiet neighborhoods, anime studios, and vibrant local shopping streets.
  • C. Nishi-Okano
    Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
  • D. Musashi-Koyama
    Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
  • E. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • 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: Osawa
Triple: [Ozawa, variantSpelling, Osawa]
Generated description
Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Osawa
Target entity description: Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
  • A. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • B. Suginami
    Suginami is a residential ward in western Tokyo, Japan, known for its quiet neighborhoods, anime studios, and vibrant local shopping streets.
  • C. Nishi-Okano
    Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
  • D. Musashi-Koyama
    Musashi-Koyama is a lively neighborhood in Tokyo known for its long covered shopping street, local eateries, and convenient urban living.
  • E. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd05abe248190a2dc2dbb27255a87 completed April 3, 2026, 2:36 p.m.
NEDg Description generation batch_69cfd193fdbc8190b49192327f698943 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd242590881909ca351c1040c76ef completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 5:35 p.m.