Triple
T37749870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Kyushu Jet Ferry |
E940949
|
entity |
| Predicate | mainPortInSouthKorea |
P189535
|
FINISHED |
| Object | Busan Port |
—
|
NE NERFINISHED |
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 | Statement: [JR Kyushu Jet Ferry, mainPortInSouthKorea, Busan Port]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPortInSouthKorea Context triple: [JR Kyushu Jet Ferry, mainPortInSouthKorea, Busan Port]
-
A.
PohangIs
Indicates that something is identified as or classified as being Pohang.
-
B.
SouthKoreaIs
Indicates that something has the status, identity, or characteristic of being South Korea.
-
C.
SouthKoreaProvides
Indicates that South Korea supplies, grants, or makes available some resource, service, or support to another entity.
-
D.
servedByFlagCarrierOfSouthKorea
Indicates that the subject is served or operated by the national flag carrier airline of South Korea.
-
E.
resultForSouthKorea
Indicates that an outcome, result, or performance metric is associated with or recorded for South Korea.
- F. None of above. chosen
Provenance (4 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:19 p.m.