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.