Triple
T12515590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSA |
E299183
|
entity |
| Predicate | hashFunctionRequirement |
P8884
|
FINISHED |
| Object | cryptographic hash function |
—
|
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: cryptographic hash function | Statement: [DSA, hashFunctionRequirement, cryptographic hash function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hashFunctionRequirement Context triple: [DSA, hashFunctionRequirement, cryptographic hash function]
-
A.
hashFunction
chosen
Indicates a relationship where an input value is transformed into a fixed-size output (hash) according to a specific deterministic hashing algorithm.
-
B.
requiresHashableElements
Indicates that the relationship or operation can only be applied when all involved elements support hashing (i.e., can be used as keys in hash-based structures).
-
C.
hasKeyFunction
Indicates that one entity serves as a primary or essential function or role for another entity.
-
D.
hasDistributionFunction
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
E.
hasPartitionFunction
Indicates that an entity is associated with a specific partition function that characterizes its statistical or thermodynamic behavior.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.