Triple
T14017451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia–China relations |
E337238
|
entity |
| Predicate | chinaBecameAustraliaLargestTradingPartner |
P112487
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Australia–China relations, chinaBecameAustraliaLargestTradingPartner, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chinaBecameAustraliaLargestTradingPartner Context triple: [Australia–China relations, chinaBecameAustraliaLargestTradingPartner, 2007]
-
A.
ChinaParticipation
Indicates that China takes part in, contributes to, or is involved in a specified event, activity, or arrangement.
-
B.
countryTradeShare
Indicates the proportion of a country’s total trade that is conducted with a specific partner or in a specific category.
-
C.
hasSecondLargestEconomy
Indicates that one entity possesses the second-largest economy in size or value relative to a specified group or set of entities.
-
D.
formerUNSeatHolderForChina
Indicates that the subject previously held China’s seat in the United Nations before the current recognized representative.
-
E.
hasLargestCountryByPopulation
Indicates that, among a set of compared entities, the subject is associated with the country that has the highest population.
- 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_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. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:19 p.m.