Triple
T25307751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily 3 |
E634526
|
entity |
| Predicate | numbersDrawn |
P117705
|
FINISHED |
| Object | 3 |
—
|
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 | Statement: [Daily 3, numbersDrawn, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numbersDrawn Context triple: [Daily 3, numbersDrawn, 3]
-
A.
numbersDrawnMain
chosen
Indicates that certain numbers have been selected or drawn as the primary or main set in a drawing or lottery-like process.
-
B.
numbersDrawnLuckyStars
Indicates that the specified numbers are the ones selected as the "lucky stars" in a draw or lottery-style event.
-
C.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
D.
lotteryNumbersSource
Indicates the origin or provider from which the lottery numbers are obtained or generated.
-
E.
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.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 21, 2026, 1:25 p.m.