Triple
T10383809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikochi |
E244707
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Myojin Pond |
E859929
|
NE FINISHED |
How this triple was built (2 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: Myojin Pond | Statement: [Kamikochi, hasLandmark, Myojin Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myojin Pond Context triple: [Kamikochi, hasLandmark, Myojin Pond]
-
A.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
-
B.
Baegun Lake
Baegun Lake is a scenic artificial reservoir and recreational area located in the city of Uiwang, South Korea.
-
C.
Taisho Pond
chosen
Taisho Pond is a scenic lake in Japan’s Kamikochi region, known for its tranquil waters reflecting the surrounding Northern Japan Alps and its origin from an early 20th-century volcanic eruption.
-
D.
Shinobazu Pond
Shinobazu Pond is a historic, scenic pond in Tokyo’s Ueno Park, known for its lotus-covered waters, central Benten Island shrine, and abundant birdlife.
-
E.
Kyoyochi pond
Kyoyochi pond is a scenic, historic garden pond at Kyoto’s Ryoan-ji temple, renowned for its tranquil beauty and seasonal reflections of surrounding trees and lotus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fba398b88190ae3223218bf53ca7 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:04 p.m.