Triple
T17662612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Pegasus World Cup Invitational Stakes |
E440288
|
entity |
| Predicate | gateFeePerStarter |
P48984
|
FINISHED |
| Object | 1000000 USD |
—
|
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: 1000000 USD | Statement: [2017 Pegasus World Cup Invitational Stakes, gateFeePerStarter, 1000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gateFeePerStarter Context triple: [2017 Pegasus World Cup Invitational Stakes, gateFeePerStarter, 1000000 USD]
-
A.
baseFee
Indicates the standard, initial fee amount applied before any additional charges, discounts, or adjustments.
-
B.
registrationFee
chosen
Indicates the monetary amount required to register for a service, event, or entity.
-
C.
feeUnit
Indicates the unit of measurement or currency in which a fee amount is expressed.
-
D.
franchiseFee
Indicates the monetary fee that a franchisee must pay to a franchisor in exchange for the right to operate under the franchisor’s brand or system.
-
E.
greenFeeLevel
Indicates the pricing tier or cost level associated with a green fee for using a golf course.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:51 a.m.