Triple
T11741912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saga-Arashiyama Station |
E279174
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
嵯峨嵐山駅
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
|
E944447
|
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: 嵯峨嵐山駅 | Statement: [Saga-Arashiyama Station, nativeName, 嵯峨嵐山駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 嵯峨嵐山駅 Context triple: [Saga-Arashiyama Station, nativeName, 嵯峨嵐山駅]
-
A.
京阪黄檗駅
京阪黄檗駅は、京都府宇治市に位置し、京阪電気鉄道宇治線が乗り入れる京都大学宇治キャンパス最寄りの鉄道駅です。
-
B.
Kyoto Shiyakusho-mae Station
Kyoto Shiyakusho-mae Station is an underground metro station in central Kyoto, Japan, serving the Kyoto Municipal Subway’s Tozai Line near Kyoto City Hall.
-
C.
Hankyu Rokko Station
Hankyu Rokko Station is a railway station in Kobe, Japan, serving as a key access point to the Mount Rokko area and surrounding neighborhoods.
-
D.
Higashiyama Station
Higashiyama Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the historic Higashiyama district.
-
E.
Kōrakuen Station
Kōrakuen Station is a major Tokyo subway station in Bunkyō ward that serves as a key access point to the Tokyo Dome and surrounding entertainment and commercial facilities.
- 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: 嵯峨嵐山駅 Triple: [Saga-Arashiyama Station, nativeName, 嵯峨嵐山駅]
Generated description
嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 嵯峨嵐山駅 Target entity description: 嵯峨嵐山駅 is a railway station in Kyoto, Japan, serving as a key access point for tourists visiting the scenic Arashiyama district.
-
A.
京阪黄檗駅
京阪黄檗駅は、京都府宇治市に位置し、京阪電気鉄道宇治線が乗り入れる京都大学宇治キャンパス最寄りの鉄道駅です。
-
B.
Kyoto Shiyakusho-mae Station
Kyoto Shiyakusho-mae Station is an underground metro station in central Kyoto, Japan, serving the Kyoto Municipal Subway’s Tozai Line near Kyoto City Hall.
-
C.
Hankyu Rokko Station
Hankyu Rokko Station is a railway station in Kobe, Japan, serving as a key access point to the Mount Rokko area and surrounding neighborhoods.
-
D.
Higashiyama Station
Higashiyama Station is an underground metro station in Kyoto, Japan, serving the Kyoto Municipal Subway network and providing access to the historic Higashiyama district.
-
E.
Kōrakuen Station
Kōrakuen Station is a major Tokyo subway station in Bunkyō ward that serves as a key access point to the Tokyo Dome and surrounding entertainment and commercial facilities.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f191388190bd6ef7e80c41ca48 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019d331888190866bdd04f6c73e08 |
completed | April 28, 2026, 2:22 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05aa351888190a31092e6a9aee26b |
completed | April 28, 2026, 6:58 a.m. |
Created at: April 8, 2026, 9:41 p.m.