Triple
T11741787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 桂川 |
E279172
|
entity |
| Predicate | 名所 |
P10233
|
FINISHED |
| Object |
嵐山
嵐山は、京都市西部に位置し、四季折々の自然美や渡月橋・竹林の小径などで知られる日本有数の観光地です。
|
E944436
|
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: 嵐山 | Statement: [桂川, 名所, 嵐山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 嵐山 Context triple: [桂川, 名所, 嵐山]
-
A.
Katsurahama
Katsurahama is a scenic, crescent-shaped beach in Kōchi Prefecture, Japan, famed for its views of the Pacific Ocean and its statue of samurai hero Sakamoto Ryōma.
-
B.
Osaka – Wakuraonsen
Osaka – Wakuraonsen is a major intercity rail corridor in Japan linking the Kansai metropolis of Osaka with the hot spring resort area of Wakura Onsen on the Noto Peninsula.
-
C.
Akashi Park
Akashi Park is a historic public park in Akashi, Japan, known for its castle ruins, seasonal cherry blossoms, and traditional landscaped grounds.
-
D.
Biwako Quasi-National Park
Biwako Quasi-National Park is a protected natural area in Japan centered around Lake Biwa, renowned for its scenic lakeside landscapes, mountains, and rich biodiversity.
-
E.
Nikko
Nikko is a historic Japanese city in Tochigi Prefecture renowned for its ornate UNESCO-listed shrines, temples, and scenic mountainous landscapes.
- 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: 嵐山 Triple: [桂川, 名所, 嵐山]
Generated description
嵐山は、京都市西部に位置し、四季折々の自然美や渡月橋・竹林の小径などで知られる日本有数の観光地です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 嵐山 Target entity description: 嵐山は、京都市西部に位置し、四季折々の自然美や渡月橋・竹林の小径などで知られる日本有数の観光地です。
-
A.
Katsurahama
Katsurahama is a scenic, crescent-shaped beach in Kōchi Prefecture, Japan, famed for its views of the Pacific Ocean and its statue of samurai hero Sakamoto Ryōma.
-
B.
Osaka – Wakuraonsen
Osaka – Wakuraonsen is a major intercity rail corridor in Japan linking the Kansai metropolis of Osaka with the hot spring resort area of Wakura Onsen on the Noto Peninsula.
-
C.
Akashi Park
Akashi Park is a historic public park in Akashi, Japan, known for its castle ruins, seasonal cherry blossoms, and traditional landscaped grounds.
-
D.
Biwako Quasi-National Park
Biwako Quasi-National Park is a protected natural area in Japan centered around Lake Biwa, renowned for its scenic lakeside landscapes, mountains, and rich biodiversity.
-
E.
Nikko
Nikko is a historic Japanese city in Tochigi Prefecture renowned for its ornate UNESCO-listed shrines, temples, and scenic mountainous landscapes.
- 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.