Triple
T18791177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heapsort |
E459516
|
entity |
| Predicate | cacheFriendliness |
P133024
|
FINISHED |
| Object | moderate |
—
|
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: moderate | Statement: [Heapsort, cacheFriendliness, moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cacheFriendliness Context triple: [Heapsort, cacheFriendliness, moderate]
-
A.
caches
Indicates that one entity stores data or resources so they can be quickly retrieved for future use by another entity or process.
-
B.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
C.
cacheCoherencyProtocol
Indicates that a specific protocol is used to maintain consistency of cached data across multiple processors or cache levels in a system.
-
D.
memoryEfficiencyReason
Indicates that there is an explanation or cause for why something is efficient in its use of memory resources.
-
E.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978665388190aaefed0ec30a1ff3 |
completed | April 20, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.