Triple
T25307772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily 3 |
E634526
|
entity |
| Predicate | randomNumberSource |
P120745
|
FINISHED |
| Object | mechanical draw machine |
—
|
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: mechanical draw machine | Statement: [Daily 3, randomNumberSource, mechanical draw machine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: randomNumberSource Context triple: [Daily 3, randomNumberSource, mechanical draw machine]
-
A.
defaultRNGType
Indicates the standard or primary random number generator type that should be used when no specific RNG type is explicitly chosen.
-
B.
isRandomized
Indicates that the selection, ordering, or assignment associated with something is determined by a random process rather than a fixed or predetermined rule.
-
C.
introducesRandomnessIn
Indicates that something adds an element of unpredictability or variability into another process, system, or outcome.
-
D.
samplingSource
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
E.
lotteryNumbersSource
chosen
Indicates the origin or provider from which the lottery numbers are obtained or generated.
- 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_69f4939c49a48190b9fdc2555273915e |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:25 p.m.