Triple
T11942321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRU |
E284205
|
entity |
| Predicate | hasCargoTrafficRankInLatinAmerica |
P54984
|
FINISHED |
| Object | one of the busiest cargo airports in Latin America |
—
|
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 cargo airports in Latin America | Statement: [GRU, hasCargoTrafficRankInLatinAmerica, one of the busiest cargo airports in Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCargoTrafficRankInLatinAmerica Context triple: [GRU, hasCargoTrafficRankInLatinAmerica, one of the busiest cargo airports in Latin America]
-
A.
hasPassengerTrafficRankInLatinAmerica
Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Latin America.
-
B.
hasPassengerTrafficRank
Indicates the relative position or ranking of an entity based on the volume of passenger traffic it handles compared to others.
-
C.
peakFreightTrafficRank
Indicates the relative ranking position of an entity based on the highest level of freight traffic it experiences or handles compared to others.
-
D.
cargoTrafficRank
chosen
Indicates the relative position of an entity in an ordered list based on the volume or intensity of its cargo traffic.
-
E.
passengerTrafficRankingWorld
Indicates the relative position of an entity in a global ranking based on the volume of passenger traffic it handles.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.