Triple
T28798918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busan |
E727172
|
entity |
| Predicate | portRankByContainerThroughput |
P20612
|
FINISHED |
| Object | one of the busiest ports in the world |
—
|
LITERAL 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: one of the busiest ports in the world | Statement: [Busan, portRankByContainerThroughput, one of the busiest ports in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portRankByContainerThroughput Context triple: [Busan, portRankByContainerThroughput, one of the busiest ports in the world]
-
A.
rankInIndiaByContainerTraffic
Indicates the position an entity holds in India when ordered by the volume of container traffic it handles.
-
B.
countryRankByThroughput
Indicates the relative position of a country in an ordered list based on its throughput level or volume.
-
C.
portRank
chosen
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
D.
peakFreightTrafficRank
Indicates the relative ranking position of an entity based on the highest level of freight traffic it experiences or handles compared to others.
-
E.
hasApproximateAnnualCargoThroughput
Indicates that an entity is associated with an estimated or approximate amount of cargo it handles over the course of a year.
- F. None of above.
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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 28, 2026, 6:26 a.m.