京都府京田辺市
E917315
京都府京田辺市は、京都府南部に位置し、同志社大学のキャンパスや茶畑が広がる山城地域の都市です。
All labels observed (1)
| Label | Occurrences |
|---|---|
| 京都府京田辺市 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T11309644 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 京都府京田辺市 Context triple: [交野市, 隣接自治体, 京都府京田辺市]
-
A.
Nakagyō-ku, Kyoto
Nakagyō-ku, Kyoto is a central ward of Kyoto City known for its historic sites, traditional streetscapes, and role as a cultural and commercial hub.
-
B.
Higashiyama-ku, Kyoto
Higashiyama-ku, Kyoto is a historic ward on Kyoto’s eastern side known for its preserved traditional streets, temples, and cultural landmarks.
-
C.
Kofu
Kofu is the capital city of Yamanashi Prefecture in central Japan, known for its surrounding mountains, hot springs, and proximity to the Fuji Five Lakes region.
-
D.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
-
E.
Fuchu, Tokyo
Fuchu, Tokyo is a city in western Tokyo Metropolis known for its blend of residential suburbs, historical sites, and major facilities such as racetracks and large cemeteries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 京都府京田辺市 Target entity description: 京都府京田辺市は、京都府南部に位置し、同志社大学のキャンパスや茶畑が広がる山城地域の都市です。
-
A.
Nakagyō-ku, Kyoto
Nakagyō-ku, Kyoto is a central ward of Kyoto City known for its historic sites, traditional streetscapes, and role as a cultural and commercial hub.
-
B.
Higashiyama-ku, Kyoto
Higashiyama-ku, Kyoto is a historic ward on Kyoto’s eastern side known for its preserved traditional streets, temples, and cultural landmarks.
-
C.
Kofu
Kofu is the capital city of Yamanashi Prefecture in central Japan, known for its surrounding mountains, hot springs, and proximity to the Fuji Five Lakes region.
-
D.
Bunkyō City
Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
-
E.
Fuchu, Tokyo
Fuchu, Tokyo is a city in western Tokyo Metropolis known for its blend of residential suburbs, historical sites, and major facilities such as racetracks and large cemeteries.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
基礎自治体
ⓘ
日本の市 ⓘ |
| 主なインターチェンジ |
京田辺松井インターチェンジ
ⓘ
田辺西インターチェンジ ⓘ |
| 主な河川 | 木津川 ⓘ |
| 主な産業 | 農業 ⓘ |
| 主な行事 |
京田辺市民まつり
ⓘ
linked to:
京田辺市
京田辺市花火大会 ⓘ |
| 主な観光地 |
ごんぼ山古墳群
ⓘ
一休寺（酬恩庵）」 ⓘ 普賢寺ふれあいの駅（農産物直売所） ⓘ |
| 主な農産物 | 茶 ⓘ |
| 主な駅 |
JR三山木駅
ⓘ
三山木駅 ⓘ 京田辺駅 ⓘ 同志社前駅 ⓘ 新田辺駅 ⓘ 興戸駅 ⓘ |
| 主な高速道路 |
京奈和自動車道
ⓘ
第二京阪道路 ⓘ |
| 主要大学キャンパス |
同志社大学京田辺キャンパス
ⓘ
linked to:
Kyotanabe Campus
同志社女子大学京田辺キャンパス ⓘ |
| 位置 | 京都府南部 ⓘ |
| 国 |
日本
ⓘ
linked to:
Japan
|
| 地域 | 山城地域 ⓘ |
| 地方 |
近畿地方
ⓘ
linked to:
Kansai region
関西地方 ⓘ
linked to:
Kansai region
|
| 大学城下町的性格 | はい ⓘ |
| 教育都市として知られる | はい ⓘ |
| 気候 | 温暖湿潤気候 ⓘ |
| 特産品 |
宇治茶（山城地域の一部）
ⓘ
玉露 ⓘ |
| 茶畑が広がる | はい ⓘ |
| 行政区分 | 山城中部広域市町村圏内市町村 ⓘ |
| 都道府県 |
京都府
ⓘ
linked to:
Kyoto Prefecture
|
| 鉄道路線 |
JR学研都市線
ⓘ
linked to:
JR片町線
近鉄京都線 ⓘ
linked to:
Kintetsu Kyoto Line
|
| 隣接自治体 |
京都府井手町
ⓘ
京都府八幡市 ⓘ
linked to:
八幡市
京都府城陽市 ⓘ 京都府精華町 ⓘ 大阪府枚方市 ⓘ
linked to:
枚方市
奈良県奈良市 ⓘ 奈良県生駒市 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: 京都府京田辺市 Description of subject: 京都府京田辺市は、京都府南部に位置し、同志社大学のキャンパスや茶畑が広がる山城地域の都市です。
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.