Triple
T7389056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Busan |
E170452
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Jeju |
E453323
|
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: Jeju | Statement: [Air Busan, cityServed, Jeju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeju Context triple: [Air Busan, cityServed, Jeju]
-
A.
Jeju City
chosen
Jeju City is the capital and largest city of South Korea’s Jeju Island, known for its volcanic landscapes, tourism, and role as a regional transportation and cultural hub.
-
B.
Jeju Island
Jeju Island is a volcanic South Korean resort island in the Korea Strait, famed for its natural scenery, mild climate, and popular tourist attractions.
-
C.
Gangjin
Gangjin is a coastal county and town in South Jeolla Province, South Korea, known for its historic celadon pottery kilns and scenic rural landscapes.
-
D.
Jeju Province
Jeju Province is a special self-governing province of South Korea, encompassing Jeju Island and known for its volcanic landscapes, tourism, and unique local culture.
-
E.
Ulleungdo
Ulleungdo is a volcanic island in the East Sea of South Korea known for its rugged cliffs, clear waters, and unique natural scenery.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f512d881908056bdb88a58bea4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856a580b481909474cee295309501 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:09 p.m.