Triple
T38225526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darwin Cup |
E1012130
|
entity |
| Predicate | approximatePrizeMoneyCategory |
P81900
|
FINISHED |
| Object | six-figure prize pool |
—
|
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: six-figure prize pool | Statement: [Darwin Cup, approximatePrizeMoneyCategory, six-figure prize pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximatePrizeMoneyCategory Context triple: [Darwin Cup, approximatePrizeMoneyCategory, six-figure prize pool]
-
A.
prizeMoneyLevel
chosen
Indicates the relative amount or tier of monetary reward associated with a prize or award.
-
B.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
C.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
D.
qualificationPrize
Indicates that an entity receives or is awarded a prize as a result of qualifying in some event, process, or competition.
-
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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:30 p.m.