Triple
T25307908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powerball |
E634530
|
entity |
| Predicate | numberOfPowerballs |
P180585
|
FINISHED |
| Object | 26 red Powerballs |
—
|
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: 26 red Powerballs | Statement: [Powerball, numberOfPowerballs, 26 red Powerballs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPowerballs Context triple: [Powerball, numberOfPowerballs, 26 red Powerballs]
-
A.
numbersDrawnMain
Indicates that certain numbers have been selected or drawn as the primary or main set in a drawing or lottery-like process.
-
B.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
-
C.
GoldenBallWinner
Indicates that the subject has been awarded the Golden Ball, recognizing them as the best-performing player in a particular football (soccer) tournament or competition.
-
D.
MegaplierCost
Indicates the monetary amount required to apply the Megaplier option to a lottery ticket or wager.
-
E.
numberOfPowerCars
Indicates the relationship specifying how many power cars (self-propelled units) are associated with or contained in a given train or rail consist.
- F. None of above. chosen
Provenance (4 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 21, 2026, 1:25 p.m.