Triple
T32550774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-384 |
E831966
|
entity |
| Predicate | primeModulusBitLength |
P175830
|
FINISHED |
| Object | 384 |
—
|
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: 384 | Statement: [P-384, primeModulusBitLength, 384]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primeModulusBitLength Context triple: [P-384, primeModulusBitLength, 384]
-
A.
hasPrimeModulus
Indicates that the associated entity or structure is defined over, or characterized by, a modulus that is a prime number.
-
B.
privateKeySize
Indicates the size or length of a private key used in a cryptographic relationship or operation.
-
C.
multiplicativeGroupOrder
Indicates the size (number of elements) of the multiplicative group associated with a given structure or modulus.
-
D.
modulusType
Indicates the type or category of modulus associated with an entity or operation (e.g., which modulus definition or scheme is being used).
-
E.
nominalKeySize
Indicates the standard or designated size value associated with a key in a cryptographic or data structure context.
- F. None of above. chosen
Provenance (4 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_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:02 a.m.