Triple
T10002307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeongdo Island |
E197355
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Nam-gu, Busan |
E633469
|
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: Nam-gu, Busan | Statement: [Yeongdo Island, adjacentTo, Nam-gu, Busan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam-gu, Busan Context triple: [Yeongdo Island, adjacentTo, Nam-gu, Busan]
-
A.
Nam-gu, Busan
chosen
Nam-gu, Busan is a coastal district in the south-central part of Busan, South Korea, known for its residential neighborhoods, universities, and views over the city and harbor.
-
B.
Nam-gu, Ulsan
Nam-gu, Ulsan is a coastal district in the metropolitan city of Ulsan, South Korea, known for its industrial facilities and maritime heritage.
-
C.
Buk-gu, Busan
Buk-gu, Busan is a northern district of Busan, South Korea, known as a largely residential and industrial area within the metropolitan city.
-
D.
Jung-gu, Busan
Jung-gu, Busan is a central district of Busan, South Korea, known for its historic downtown area, bustling commercial streets, and major shopping and cultural attractions.
-
E.
Changwon
Changwon is a major industrial and administrative city in South Gyeongsang Province, South Korea, known for its planned urban layout and role as a regional government and manufacturing hub.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc9078788190a4e75dd7ff830c63 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49c59538081909102a6954f564e46 |
completed | May 1, 2026, 12:28 p.m. |
Created at: March 30, 2026, 8:51 p.m.