Triple
T5051482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia-Pacific ports |
E113794
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Port of Incheon |
E27787
|
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: Port of Incheon | Statement: [Asia-Pacific ports, hasPart, Port of Incheon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Incheon Context triple: [Asia-Pacific ports, hasPart, Port of Incheon]
-
A.
Jeju Port
Jeju Port is a major maritime gateway on South Korea’s Jeju Island, serving as a key hub for passenger ferries, cargo shipping, and regional tourism.
-
B.
Incheon
chosen
Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
-
C.
Neryungri Airport
Neryungri Airport is a regional airport in the Sakha Republic of Russia that serves the town of Neryungri and its surrounding area.
-
D.
Ulsan
Ulsan is a major industrial city in southeastern South Korea, known for its large automobile, shipbuilding, and petrochemical complexes.
-
E.
Port of Busan New Port
Port of Busan New Port is a major deep-water container terminal complex in South Korea that serves as a key transshipment hub in the Asia-Pacific region.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7426fc8081908a8227f73168c235 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5ec4308190aff8b1c4e494e0e2 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:37 p.m.