Triple
T13507267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | splay tree |
E321044
|
entity |
| Predicate | memoryOverhead |
P110032
|
FINISHED |
| Object | O(1) extra information per node |
—
|
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: O(1) extra information per node | Statement: [splay tree, memoryOverhead, O(1) extra information per node]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryOverhead Context triple: [splay tree, memoryOverhead, O(1) extra information per node]
-
A.
memoryOnPackage
Indicates that a memory component is mounted directly on top of, or within the same physical package as, another device or chip.
-
B.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
C.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
D.
memoryRegion
Indicates a relationship where one entity represents or refers to a specific region or segment within a larger memory space.
-
E.
overhead
Indicates that one entity is located above and spanning across another, typically covering it from a higher position.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaee128d88190b097be17fdd2f92b |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.