Triple
T15941094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-ku, Osaka |
E386560
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
大阪市北区
大阪市北区 is a central ward of Osaka City known as a major commercial, business, and entertainment hub that includes the Umeda district and Osaka Station area.
|
E1184635
|
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: 大阪市北区 | Statement: [Kita-ku, Osaka, hasJapaneseName, 大阪市北区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大阪市北区 Context triple: [Kita-ku, Osaka, hasJapaneseName, 大阪市北区]
-
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。
-
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.
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。
-
E.
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.
- 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: 大阪市北区 Triple: [Kita-ku, Osaka, hasJapaneseName, 大阪市北区]
Generated description
大阪市北区 is a central ward of Osaka City known as a major commercial, business, and entertainment hub that includes the Umeda district and Osaka Station area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 大阪市北区 Target entity description: 大阪市北区 is a central ward of Osaka City known as a major commercial, business, and entertainment hub that includes the Umeda district and Osaka Station area.
-
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。
-
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.
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。
-
E.
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.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5bbc07c819098fd768e2e6b5b3e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb706eb348190baba254656fc0e71 |
completed | May 9, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7812bf08190918c1410565633e2 |
completed | May 9, 2026, 10:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.