Triple
T8752845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan Marine Natural History Museum |
E208000
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Amnam Park |
E687667
|
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: Amnam Park | Statement: [Busan Marine Natural History Museum, nearby, Amnam Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amnam Park Context triple: [Busan Marine Natural History Museum, nearby, Amnam Park]
-
A.
Amnam Park
chosen
Amnam Park is a coastal natural park in Busan, South Korea, known for its forested walking trails, sea cliffs, and scenic views of the coastline and nearby islands.
-
B.
Daewangam Park
Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
-
C.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
D.
Longtan Park
Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
-
E.
Hongmei Park
Hongmei Park is a popular scenic urban park in Changzhou, China, known for its classical gardens, lakes, and cultural attractions.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa02a610c8190b3a63f52c7bda7b2 |
completed | April 3, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:39 p.m.