Triple
T36240942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Thanh International Airport |
E891514
|
entity |
| Predicate | plannedCapacityPhase1CargoPerYear |
P12993
|
FINISHED |
| Object | 1.2 million tonnes |
—
|
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: 1.2 million tonnes | Statement: [Long Thanh International Airport, plannedCapacityPhase1CargoPerYear, 1.2 million tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedCapacityPhase1CargoPerYear Context triple: [Long Thanh International Airport, plannedCapacityPhase1CargoPerYear, 1.2 million tonnes]
-
A.
hasApproximateAnnualCargoThroughput
Indicates that an entity is associated with an estimated or approximate amount of cargo it handles over the course of a year.
-
B.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
C.
annualCapacity
chosen
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
D.
transportCapacity
Indicates the maximum quantity of people, goods, or materials that can be transported by an entity or system within a given operation or time frame.
-
E.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
- 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_69f76e44993481908fa75e4c48d0aab3 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:09 p.m.