Triple
T10002305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeongdo Island |
E197355
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Busan Port area |
E756553
|
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 Port area | Statement: [Yeongdo Island, partOf, Busan Port area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busan Port area Context triple: [Yeongdo Island, partOf, Busan Port area]
-
A.
Busan North Port area
The Busan North Port area is a key maritime and redevelopment district within Busan’s waterfront, encompassing port facilities, logistics hubs, and emerging urban spaces.
-
B.
Port of Busan
chosen
The Port of Busan is South Korea’s largest and busiest seaport, serving as a major global hub for container shipping and passenger ferries in Northeast Asia.
-
C.
Busan North Port
Busan North Port is a major harbor area in Busan, South Korea, serving as one of the city’s key maritime and logistics hubs.
-
D.
Busan South Port
Busan South Port is a major harbor area in Busan, South Korea, serving as an important hub for maritime trade and transportation.
-
E.
Dongdu Port Area
Dongdu Port Area is a major terminal zone within the Port of Xiamen, serving as a key hub for cargo handling and maritime trade in southeastern China.
- 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_69d26a41e25881908c7d1e15daeffc44 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.