Triple
T17122911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansan |
E415511
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Ansan Port
Ansan Port is a coastal industrial and logistics port facility serving the city of Ansan in Gyeonggi Province, South Korea.
|
E1251204
|
NE FINISHED |
How this triple was built (4 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: Ansan Port | Statement: [Ansan, hasPort, Ansan Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansan Port Context triple: [Ansan, hasPort, Ansan Port]
-
A.
Pyeongtaek Port
Pyeongtaek Port is a major South Korean seaport on the Yellow Sea that serves as an important hub for international trade and regional maritime logistics.
-
B.
Gunsan Port
Gunsan Port is a major seaport in Gunsan, South Korea, serving as an important hub for regional trade and maritime transport.
-
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.
Incheon Port
Incheon Port is a major seaport in Incheon, South Korea, serving as a key gateway for international trade and maritime transport near the capital Seoul.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ansan Port Triple: [Ansan, hasPort, Ansan Port]
Generated description
Ansan Port is a coastal industrial and logistics port facility serving the city of Ansan in Gyeonggi Province, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ansan Port Target entity description: Ansan Port is a coastal industrial and logistics port facility serving the city of Ansan in Gyeonggi Province, South Korea.
-
A.
Pyeongtaek Port
Pyeongtaek Port is a major South Korean seaport on the Yellow Sea that serves as an important hub for international trade and regional maritime logistics.
-
B.
Gunsan Port
Gunsan Port is a major seaport in Gunsan, South Korea, serving as an important hub for regional trade and maritime transport.
-
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.
Incheon Port
Incheon Port is a major seaport in Incheon, South Korea, serving as a key gateway for international trade and maritime transport near the capital Seoul.
- F. None of above. chosen
Provenance (5 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80ac2cc819084fab829917c950a |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae461048190a9ced7e956802958 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:36 a.m.