Triple
T11309693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高槻市 |
E267804
|
entity |
| Predicate | borderWith |
P224
|
FINISHED |
| Object |
京都府大山崎町
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。
|
E917325
|
NE FINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: 京都府大山崎町 | Statement: [高槻市, borderWith, 京都府大山崎町]
Disambiguation candidates (2 decisions)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
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
How the object was described
The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.
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: 京都府大山崎町 Triple: [高槻市, borderWith, 京都府大山崎町]
Generated 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。
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6aaca5c24819083db46a30d86cb34 |
elicitation | completed |
| NER | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
ner | completed |
| NED1 | batch_69e50a70022081908bc74185003a3503 |
ned_source_triple | completed |
| NED2 | batch_69e516d0910481908fee176db0d9229b |
ned_description | completed |
| NEDg | batch_69e510fb1e288190a7a38fe896d7b91d |
nedg | completed |
Created at: April 8, 2026, 9:32 p.m.