Triple
T32550579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGMA protocol family |
E831961
|
entity |
| Predicate | typicalAssumptions |
P7027
|
FINISHED |
| Object | hardness of discrete logarithm problem |
—
|
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: hardness of discrete logarithm problem | Statement: [SIGMA protocol family, typicalAssumptions, hardness of discrete logarithm problem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAssumptions Context triple: [SIGMA protocol family, typicalAssumptions, hardness of discrete logarithm problem]
-
A.
typicalAssumption
chosen
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
B.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
C.
typicalCircumstance
Indicates the usual or commonly occurring situation, condition, or context in which an event, action, or relationship typically takes place.
-
D.
assumes
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
E.
typicalPerception
Indicates the usual or most common way an entity is perceived or experienced through the senses.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:02 a.m.