Triple
T22852035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamsil |
E566377
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Seokchon Lake |
—
|
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: Seokchon Lake | Statement: [Jamsil, hasAttraction, Seokchon Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seokchon Lake Context triple: [Jamsil, hasAttraction, Seokchon Lake]
-
A.
Seokchon Lake
chosen
Seokchon Lake is a scenic artificial lake and popular recreational area in southeastern Seoul, known for its walking paths, cherry blossoms, and views of nearby Lotte World attractions.
-
B.
Gongjicheon Lake
Gongjicheon Lake is a scenic body of water in Chuncheon, South Korea, known for its riverside parks, walking paths, and seasonal festivals.
-
C.
Sanjeong Lake
Sanjeong Lake is a scenic highland lake in Pocheon, South Korea, known for its forested mountains, walking trails, and seasonal views that attract many visitors.
-
D.
Chungju Lake
Chungju Lake is a large artificial reservoir in South Korea, created by the Chungju Dam and known for its scenic landscapes and recreational activities.
-
E.
Suseong Lake
Suseong Lake is a popular recreational lake in Daegu, South Korea, known for its scenic walking paths, cafes, and cultural events.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.