Triple
T8210152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFDHE groups |
E191792
|
entity |
| Predicate | bitLengthRange |
P54172
|
FINISHED |
| Object | 2048 to 8192 bits |
—
|
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: 2048 to 8192 bits | Statement: [FFDHE groups, bitLengthRange, 2048 to 8192 bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bitLengthRange Context triple: [FFDHE groups, bitLengthRange, 2048 to 8192 bits]
-
A.
bitWidth
Indicates the number of bits used to represent or encode a given value, type, or data element.
-
B.
bitLengthFactorization
Indicates a relationship where the bit-length of a number is determined or constrained by the factorization of that number.
-
C.
hasLengthRange
chosen
Indicates that an entity’s length falls within a specified minimum-to-maximum range.
-
D.
approximateBlockLength
Indicates that one entity specifies or estimates the length of a block in an approximate or non-exact manner.
-
E.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dd881c8190adcbeb2f33d3295c |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.