Triple
T15240959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroMillions |
E364251
|
entity |
| Predicate | jackpotOdds |
P93133
|
FINISHED |
| Object | 1 in 139,838,160 |
—
|
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: 1 in 139,838,160 | Statement: [EuroMillions, jackpotOdds, 1 in 139,838,160]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jackpotOdds Context triple: [EuroMillions, jackpotOdds, 1 in 139,838,160]
-
A.
MagicWins
Indicates that one entity achieves victory over another through the use of magic or supernatural powers.
-
B.
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.
-
C.
slot
Indicates a relationship where an entity is assigned or occupies a specific position, time, or opening within an ordered or limited set of available places.
-
D.
bettingOdds
chosen
Indicates the likelihood or probability of a particular outcome in a bet, typically expressed as numerical odds set for wagering.
-
E.
numberOfSlotMachines
Indicates the quantity of slot machines associated with a given entity or location.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.