Triple
T14017447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia–China relations |
E337238
|
entity |
| Predicate | chinaMajorExportToAustralia |
P3026
|
FINISHED |
| Object | manufactured goods |
—
|
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: manufactured goods | Statement: [Australia–China relations, chinaMajorExportToAustralia, manufactured goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chinaMajorExportToAustralia Context triple: [Australia–China relations, chinaMajorExportToAustralia, manufactured goods]
-
A.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
B.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
C.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
D.
ChineseObjective
Indicates that an entity has an objective, goal, or target specifically related to China or the Chinese context.
-
E.
majorExport
chosen
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.