Triple
T12535168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gose, Nara Prefecture |
E299668
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
御所市
御所市 is a small city in Nara Prefecture, Japan, known for its historical sites, traditional rural scenery, and proximity to the Kongo and Katsuragi mountain ranges.
|
E989406
|
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: 御所市 | Statement: [Gose, Nara Prefecture, hasJapaneseName, 御所市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 御所市 Context triple: [Gose, Nara Prefecture, hasJapaneseName, 御所市]
-
A.
柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
-
B.
川越市
川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
-
C.
宍粟市
宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
-
D.
高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
-
E.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
- 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: 御所市 Triple: [Gose, Nara Prefecture, hasJapaneseName, 御所市]
Generated description
御所市 is a small city in Nara Prefecture, Japan, known for its historical sites, traditional rural scenery, and proximity to the Kongo and Katsuragi mountain ranges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 御所市 Target entity description: 御所市 is a small city in Nara Prefecture, Japan, known for its historical sites, traditional rural scenery, and proximity to the Kongo and Katsuragi mountain ranges.
-
A.
柏原市
柏原市は、大阪府南東部に位置し、歴史ある寺社やぶどう栽培などで知られる中規模の都市です。
-
B.
川越市
川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
-
C.
宍粟市
宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
-
D.
高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
-
E.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65577e3388190b6c1c2e8dee7f6ac |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f6566e7bf88190a33c609caf9b4f3d |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657b1b13c8190984300f24c0b2083 |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:57 p.m.