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.