Triple
T32283187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakthrough Prize |
E824754
|
entity |
| Predicate | typicalPrizeMoney |
P22091
|
FINISHED |
| Object | 3 million US dollars |
—
|
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: 3 million US dollars | Statement: [Breakthrough Prize, typicalPrizeMoney, 3 million US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPrizeMoney Context triple: [Breakthrough Prize, typicalPrizeMoney, 3 million US dollars]
-
A.
typicalAwardAmount
chosen
Indicates the usual or most common amount of an award given in this relationship.
-
B.
prizeMoneyLevel
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
C.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
D.
monetaryAwardTypical
Indicates that a monetary award is the usual or standard outcome or component associated with the given context or relationship.
-
E.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:43 a.m.