Triple
T27733572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.Random |
E697482
|
entity |
| Predicate | isDeterministicWithSameSeed |
P51462
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [System.Random, isDeterministicWithSameSeed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDeterministicWithSameSeed Context triple: [System.Random, isDeterministicWithSameSeed, true]
-
A.
isDeterministic
chosen
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
-
B.
isDeterministicWithFixedNonceAndKey
Indicates that the outcome of an operation is fully determined and repeatable when the same nonce and key are used, with no additional randomness involved.
-
C.
hasLowerDeterminismThan
Indicates that one entity exhibits a lower degree of determinism in its behavior or outcomes compared to another entity.
-
D.
oftenDeterministicDuring
Indicates that one entity tends to behave or occur in a predictable, rule-governed way during the time, process, or condition specified by another entity.
-
E.
isRandomized
Indicates that the selection, ordering, or assignment associated with something is determined by a random process rather than a fixed or predetermined rule.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369e16a08190853fdd8ac05800f6 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:12 p.m.