Triple
T24903295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LKS Mackinnon Stakes |
E623635
|
entity |
| Predicate | approxPrizeMoney |
P72606
|
FINISHED |
| Object | 2000000 AUD |
—
|
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: 2000000 AUD | Statement: [LKS Mackinnon Stakes, approxPrizeMoney, 2000000 AUD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxPrizeMoney Context triple: [LKS Mackinnon Stakes, approxPrizeMoney, 2000000 AUD]
-
A.
prizeMoneyLevel
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
B.
hasPrizeMoney
chosen
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
C.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
D.
equalPrizeMoneySince
Indicates that the prize money awarded has been the same for the referenced parties starting from a specific point in time.
-
E.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 5:27 a.m.