Triple

T14494907
Position Surface form Disambiguated ID Type / Status
Subject Nishi-ku, Osaka E359469 entity
Predicate hasJapaneseName P9882 FINISHED
Object 大阪市西区
大阪市西区は、大阪市の中心部に位置し、ビジネス街や住宅地、商業施設が混在する都市型の行政区です。
E1102174 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: 大阪市西区 | Statement: [Nishi-ku, Osaka, hasJapaneseName, 大阪市西区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪市西区
Context triple: [Nishi-ku, Osaka, hasJapaneseName, 大阪市西区]
  • A. 大阪市港区
    大阪市港区 is one of Osaka City's 24 wards, located along Osaka Bay and known for its port facilities, aquarium, and waterfront attractions.
  • B. 大阪市此花区
    大阪市此花区は、大阪市の西部に位置し、ユニバーサル・スタジオ・ジャパンやベイエリアの観光施設を擁する臨海工業・住宅地域である。
  • C. Miyakojima-ku, Osaka
    Miyakojima-ku, Osaka is a central ward of Osaka City in Japan known for its dense urban neighborhoods, commercial districts, and convenient rail connections.
  • D. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • E. Yodogawa-ku, Osaka
    Yodogawa-ku, Osaka is a ward in northern Osaka City known as a major transportation hub, notably hosting Shin-Osaka Station, the city’s primary Shinkansen terminal.
  • 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: 大阪市西区
Triple: [Nishi-ku, Osaka, hasJapaneseName, 大阪市西区]
Generated description
大阪市西区は、大阪市の中心部に位置し、ビジネス街や住宅地、商業施設が混在する都市型の行政区です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大阪市西区
Target entity description: 大阪市西区は、大阪市の中心部に位置し、ビジネス街や住宅地、商業施設が混在する都市型の行政区です。
  • A. 大阪市港区
    大阪市港区 is one of Osaka City's 24 wards, located along Osaka Bay and known for its port facilities, aquarium, and waterfront attractions.
  • B. 大阪市此花区
    大阪市此花区は、大阪市の西部に位置し、ユニバーサル・スタジオ・ジャパンやベイエリアの観光施設を擁する臨海工業・住宅地域である。
  • C. Miyakojima-ku, Osaka
    Miyakojima-ku, Osaka is a central ward of Osaka City in Japan known for its dense urban neighborhoods, commercial districts, and convenient rail connections.
  • D. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • E. Yodogawa-ku, Osaka
    Yodogawa-ku, Osaka is a ward in northern Osaka City known as a major transportation hub, notably hosting Shin-Osaka Station, the city’s primary Shinkansen terminal.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6e75155081908cec8cac1101c17e completed May 8, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f38ea788190a957419ca1971b15 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.