Triple
T16207176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuri area |
E393356
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ryutan Pond |
E178411
|
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: Ryutan Pond | Statement: [Shuri area, contains, Ryutan Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryutan Pond Context triple: [Shuri area, contains, Ryutan Pond]
-
A.
Ryutan Pond
chosen
Ryutan Pond is a historic ornamental pond within Shuri Castle’s grounds in Okinawa, Japan, known for its scenic beauty and cultural significance to the former Ryukyu Kingdom.
-
B.
Puskarini Pond
Puskarini Pond is a sacred water body traditionally used for ritual bathing and religious ceremonies in its associated temple complex.
-
C.
Sogenchi Pond
Sogenchi Pond is the central reflective pond in the historic Zen garden of Tenryu-ji in Kyoto, renowned for its scenic views of the surrounding temple grounds and borrowed mountain landscape.
-
D.
Anapji Pond
Anapji Pond is a historic artificial pond and garden in Gyeongju, South Korea, originally built during the Silla Dynasty as part of a royal palace complex and now a famous scenic and archaeological site.
-
E.
Himonya Pond
Himonya Pond is a scenic urban pond in Tokyo known for its tranquil atmosphere, boating, and surrounding parkland.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078fa2ac8190a0a2cf38bc41498d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.