Triple
T10843610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor General’s Award in Visual and Media Arts |
E255952
|
entity |
| Predicate | monetaryPrize |
P72606
|
FINISHED |
| Object | 25000 CAD |
—
|
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: 25000 CAD | Statement: [Governor General’s Award in Visual and Media Arts, monetaryPrize, 25000 CAD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monetaryPrize Context triple: [Governor General’s Award in Visual and Media Arts, monetaryPrize, 25000 CAD]
-
A.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
B.
monetaryReward
Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
-
C.
hasPrizeMoney
chosen
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
D.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
E.
hasNoMonetaryPrize
Indicates that the associated event, activity, or recognition does not provide any financial or cash reward.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750cf3fd08190b9c509929dc43284 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.