Triple
T26405666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyclone IV |
E663823
|
entity |
| Predicate | logicDensityRange |
P100440
|
FINISHED |
| Object | tens of thousands of logic elements |
—
|
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: tens of thousands of logic elements | Statement: [Cyclone IV, logicDensityRange, tens of thousands of logic elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicDensityRange Context triple: [Cyclone IV, logicDensityRange, tens of thousands of logic elements]
-
A.
logicCapacityRange
Indicates the range of logical processing or reasoning capacity that an entity can handle or support.
-
B.
logicCapacity
Indicates that an entity has the ability or capacity to perform logical reasoning or operations.
-
C.
hasDensityParameter
chosen
Indicates that an entity is associated with a specific density-related parameter or value used to characterize its density properties.
-
D.
codeDensity
Indicates the proportion of code elements (such as instructions, statements, or functionality) relative to a given size or resource measure (e.g., lines, bytes, or area).
-
E.
hasLowerColumnDensityLimitThan
Indicates that the column density of one entity is constrained to be lower than the column density of another entity.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f87374819084279ca5c2f3d32f |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 11:34 p.m.