Triple
T15240943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroMillions |
E364251
|
entity |
| Predicate | numbersDrawnLuckyStars |
P117706
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [EuroMillions, numbersDrawnLuckyStars, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numbersDrawnLuckyStars Context triple: [EuroMillions, numbersDrawnLuckyStars, 2]
-
A.
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.
-
B.
retiredNumbers
Indicates that a team has officially retired a specific player’s jersey number, taking it out of regular use in honor of that player.
-
C.
numberOfDraws
Indicates the total count of times an event, game, or contest has ended in a draw or tie.
-
D.
MagicWins
Indicates that one entity achieves victory over another through the use of magic or supernatural powers.
-
E.
retiredNumbersCount
Indicates the number of jersey or identification numbers that have been officially retired from use.
- 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_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. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.