Triple

T13011583
Position Surface form Disambiguated ID Type / Status
Subject Naniwa-ku, Osaka E322427 entity
Predicate hasMajorDistrict P14817 FINISHED
Object Kizugawa
Kizugawa is a major district within Naniwa-ku in Osaka, Japan, known as part of the city's central urban area.
 E1131284 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: Kizugawa | Statement: [Naniwa-ku, Osaka, hasMajorDistrict, Kizugawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kizugawa
Context triple: [Naniwa-ku, Osaka, hasMajorDistrict, Kizugawa]
  • A. Kizugawa
    Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
  • B. Kisogawa
    Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
  • C. Futakotamagawa
    Futakotamagawa is a riverside commercial and residential district in Tokyo known for its large shopping complexes, upscale housing, and scenic Tama River views.
  • D. Takinogawa
    Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
  • E. Sukagawa
    Sukagawa is a city in central Fukushima Prefecture, Japan, known for its historic role as a post town and its annual Taimatsu Akashi fire festival.
  • 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: Kizugawa
Triple: [Naniwa-ku, Osaka, hasMajorDistrict, Kizugawa]
Generated description
Kizugawa is a major district within Naniwa-ku in Osaka, Japan, known as part of the city's central urban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kizugawa
Target entity description: Kizugawa is a major district within Naniwa-ku in Osaka, Japan, known as part of the city's central urban area.
  • A. Kizugawa
    Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
  • B. Kisogawa
    Kisogawa is the Japanese name for the Kiso River, a major river in central Honshu known for its scenic valleys and historical importance.
  • C. Futakotamagawa
    Futakotamagawa is a riverside commercial and residential district in Tokyo known for its large shopping complexes, upscale housing, and scenic Tama River views.
  • D. Takinogawa
    Takinogawa is a residential district in Kita Ward, Tokyo, known for its quiet neighborhoods and convenient urban access.
  • E. Sukagawa
    Sukagawa is a city in central Fukushima Prefecture, Japan, known for its historic role as a post town and its annual Taimatsu Akashi fire festival.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967a96708190b8688e84fdb270b0 completed May 9, 2026, 2:05 a.m.
NEDg Description generation batch_69fe97c0a3688190a9f55376a1d7ad87 completed May 9, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69fe985cec608190888733cdc5bd71ea completed May 9, 2026, 2:13 a.m.
Created at: April 9, 2026, 8:49 p.m.