Triple
T9931908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | brainpool curves |
E192665
|
entity |
| Predicate | parameterGenerationMethod |
P69703
|
FINISHED |
| Object | SHA-1 based seed expansion |
—
|
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: SHA-1 based seed expansion | Statement: [brainpool curves, parameterGenerationMethod, SHA-1 based seed expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parameterGenerationMethod Context triple: [brainpool curves, parameterGenerationMethod, SHA-1 based seed expansion]
-
A.
generationMethod
chosen
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
B.
signalGenerationMethod
Indicates the method or technique used to produce or generate a signal in a given context.
-
C.
simulationMethod
Indicates the technique or approach used to perform or implement a simulation.
-
D.
lightGenerationMethod
Indicates the method or process by which light is produced or generated.
-
E.
atmosphereGenerationMethod
Indicates the method or process by which an atmosphere is produced or generated.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.