Triple
T9083333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongnae Station |
E217688
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Busan, South Korea |
E727172
|
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: Busan, South Korea | Statement: [Dongnae Station, locatedIn, Busan, South Korea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busan, South Korea Context triple: [Dongnae Station, locatedIn, Busan, South Korea]
-
A.
Busan, South Korea
chosen
Busan, South Korea is the country’s second-largest city and a major coastal hub known for its busy port, beaches, and international film festival.
-
B.
Jinju, South Korea
Jinju, South Korea is a historic city in South Gyeongsang Province known for its riverside fortress, role in the Imjin War, and annual lantern festival.
-
C.
Daegu, South Korea
Daegu, South Korea is a major city in the southeastern part of the country known for its role as an industrial, cultural, and educational center.
-
D.
Gunsan, South Korea
Gunsan, South Korea is a coastal industrial city in North Jeolla Province known for its port, manufacturing facilities, and role as a regional transportation hub.
-
E.
Inchon, South Korea
Inchon, South Korea is a major port city near Seoul known for its strategic coastal location and as the site of the pivotal Korean War amphibious landing.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960a2760819084aab611eb1c43a9 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c265fcc819095a67f1270cadeec |
completed | April 9, 2026, 3:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.