Triple
T29938529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRG32k3a generator |
E760432
|
entity |
| Predicate | hasStreamCountPerSeed |
P102811
|
FINISHED |
| Object | 2^64 streams (conceptual design) |
—
|
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: 2^64 streams (conceptual design) | Statement: [MRG32k3a generator, hasStreamCountPerSeed, 2^64 streams (conceptual design)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreamCountPerSeed Context triple: [MRG32k3a generator, hasStreamCountPerSeed, 2^64 streams (conceptual design)]
-
A.
hasSeedCount
Indicates that an entity possesses a specific number of seeds.
-
B.
hasSubstreamCountPerStream
Indicates the number of substreams associated with each individual stream.
-
C.
hasNumberOfStreams
chosen
Indicates the quantity of streams associated with a given entity.
-
D.
typicalNumberOfSeedLines
Indicates the usual or standard count of seed lines associated with an entity or process.
-
E.
hasSeedingRange
Indicates the range or interval of seed positions or rankings within which something is assigned or considered.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 29, 2026, 6:21 p.m.