Triple
T5245508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blum–Blum–Shub pseudorandom number generator |
E118448
|
entity |
| Predicate | stateUpdateFunction |
P54354
|
FINISHED |
| Object | x_{i+1} = x_i^2 mod n |
—
|
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: x_{i+1} = x_i^2 mod n | Statement: [Blum–Blum–Shub pseudorandom number generator, stateUpdateFunction, x_{i+1} = x_i^2 mod n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateUpdateFunction
Context triple: [Blum–Blum–Shub pseudorandom number generator, stateUpdateFunction, x_{i+1} = x_i^2 mod n]
-
A.
stateSetting
Indicates that one entity establishes, configures, or assigns the state or condition of another entity.
-
B.
stateFunction
chosen
Indicates a functional relationship that maps each input state to a corresponding output state or value.
-
C.
preStateFunction
Indicates that a function or system is in a specific state or configuration before a particular action, event, or transition occurs.
-
D.
actorUpdatedWith
Indicates that an existing actor entity has been modified to reflect new or changed information.
-
E.
stateTree
Indicates a hierarchical relationship where one state is organized as a node within a tree-structured arrangement of states, typically reflecting parent-child or nested state dependencies.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.