京都府大山崎町
E917325
京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
All labels observed (1)
| Label | Occurrences |
|---|---|
| 京都府大山崎町 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11309693 — 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: 京都府大山崎町 Context triple: [高槻市, borderWith, 京都府大山崎町]
-
A.
福岡県太宰府市
福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
-
B.
丹波市
丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
-
C.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
-
D.
Higashiosaka, Osaka Prefecture, Japan
Higashiosaka is a major industrial and educational city in Osaka Prefecture, Japan, known for its manufacturing base and as the home of several universities and research institutions.
-
E.
Kōka, Shiga Prefecture
Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
- 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: 京都府大山崎町 Target entity description: 京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
-
A.
福岡県太宰府市
福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
-
B.
丹波市
丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
-
C.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
-
D.
Higashiosaka, Osaka Prefecture, Japan
Higashiosaka is a major industrial and educational city in Osaka Prefecture, Japan, known for its manufacturing base and as the home of several universities and research institutions.
-
E.
Kōka, Shiga Prefecture
Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
基礎自治体
ⓘ
日本の町 ⓘ |
| administrativeDivision | 乙訓郡 NERFINISHED ⓘ |
| borderWith |
京都市
NERFINISHED
ⓘ
大阪府島本町 NERFINISHED ⓘ 大阪府高槻市 NERFINISHED ⓘ 奈良県生駒郡平群町 ⓘ 長岡京市 NERFINISHED ⓘ |
| country | 日本 NERFINISHED ⓘ |
| hasCulturalProperty | 歴史的寺社や古戦場跡 ⓘ |
| hasFacility | サントリー山崎蒸溜所 NERFINISHED ⓘ |
| hasFeature |
京都府南西端に位置する
ⓘ
面積が小さい自治体 ⓘ |
| hasHistoricEvent | 山崎の戦い NERFINISHED ⓘ |
| hasHistoricSite | 山崎合戦関連史跡 ⓘ |
| hasIndustry |
ウイスキー製造
ⓘ
ビール関連産業 ⓘ 住宅地 ⓘ |
| hasInterchange | 大山崎インターチェンジ ⓘ |
| hasJunction | 大山崎ジャンクション ⓘ |
| hasLandscape | 山地と河川が接する景観 ⓘ |
| hasMountain | 天王山 ⓘ |
| hasMuseum | アサヒビール大山崎山荘美術館 NERFINISHED ⓘ |
| hasRiver |
宇治川
ⓘ
桂川 NERFINISHED ⓘ 淀川 NERFINISHED ⓘ |
| hasStation |
JR山崎駅
ⓘ
阪急大山崎駅 ⓘ |
| hasTemple |
大山崎山荘美術館併設の寺院的建築
ⓘ
宝積寺 NERFINISHED ⓘ |
| hasTransportation | 名神高速道路付近 ⓘ |
| knownFor |
サントリー山崎蒸溜所
NERFINISHED
ⓘ
天王山の景観 ⓘ 寺社仏閣 ⓘ 山崎の戦いの古戦場 ⓘ 淀川の景観 ⓘ |
| languageUsed | 日本語 ⓘ |
| locatedIn |
乙訓地域
NERFINISHED
ⓘ
京都府 NERFINISHED ⓘ 京都府南部 ⓘ |
| locatedOnLine |
JR京都線
NERFINISHED
ⓘ
阪急京都本線 NERFINISHED ⓘ |
| partOf | 京阪神大都市圏 NERFINISHED ⓘ |
| timeZone | 日本標準時 ⓘ |
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: 京都府大山崎町 Description of subject: 京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.