Triple
T19116002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huwon |
E467908
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Buyongji Pond |
—
|
NE NERFINISHED |
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: Buyongji Pond | Statement: [Huwon, hasPart, Buyongji Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buyongji Pond Context triple: [Huwon, hasPart, Buyongji Pond]
-
A.
Buyongji Pond
chosen
Buyongji Pond is a scenic lotus pond and central feature of the tranquil Secret Garden within Changdeokgung Palace in Seoul, South Korea.
-
B.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
-
C.
Baegun Lake
Baegun Lake is a scenic artificial reservoir and recreational area located in the city of Uiwang, South Korea.
-
D.
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.
-
E.
Menghuan Pond
Menghuan Pond is a scenic, mist-shrouded mountain pond in Taiwan’s Yangmingshan National Park, known for its ethereal atmosphere created by geothermal activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3984bf48190818fa2b01b75decb |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.