Triple

T10664749
Position Surface form Disambiguated ID Type / Status
Subject 大阪市港区 E251325 entity
Predicate borderedBy P224 FINISHED
Object 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。
E876674 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: 大阪市此花区 | Statement: [大阪市港区, borderedBy, 大阪市此花区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪市此花区
Context triple: [大阪市港区, borderedBy, 大阪市此花区]
  • 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. Abeno-ku, Osaka, Japan
    Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
  • C. 大阪府豊中市
    大阪府豊中市は、大阪府北部に位置し、大阪国際空港(伊丹空港)を抱える住宅都市・文教都市として知られる市です。
  • D. 白石区
    白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
  • E. Naniwa-ku, Osaka
    Naniwa-ku, Osaka is a central ward of Osaka City known for its busy commercial districts, entertainment areas, and major transport hubs such as Namba.
  • 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: 大阪市此花区
Triple: [大阪市港区, borderedBy, 大阪市此花区]
Generated description
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。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大阪市此花区
Target entity description: 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。
  • 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. Abeno-ku, Osaka, Japan
    Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
  • C. 大阪府豊中市
    大阪府豊中市は、大阪府北部に位置し、大阪国際空港(伊丹空港)を抱える住宅都市・文教都市として知られる市です。
  • D. 白石区
    白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
  • E. Naniwa-ku, Osaka
    Naniwa-ku, Osaka is a central ward of Osaka City known for its busy commercial districts, entertainment areas, and major transport hubs such as Namba.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31e8f5c8190ba03da312d397524 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.