Triple
T12607630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom–San Francisco grain trade |
E301024
|
entity |
| Predicate | relatedTrade |
P32987
|
FINISHED |
| Object | Australia–United Kingdom grain trade |
—
|
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: Australia–United Kingdom grain trade | Statement: [United Kingdom–San Francisco grain trade, relatedTrade, Australia–United Kingdom grain trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedTrade Context triple: [United Kingdom–San Francisco grain trade, relatedTrade, Australia–United Kingdom grain trade]
-
A.
relatedExchange
Indicates that there is a connection or association between two exchanges or exchange-related events.
-
B.
relatedMarket
chosen
Indicates that two markets are connected or associated, such that activity, conditions, or changes in one market are relevant to or influence the other.
-
C.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
-
D.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
E.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:11 p.m.