Triple
T4279353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-tree |
E97112
|
entity |
| Predicate | timeComplexityDeletion |
P27167
|
FINISHED |
| Object | O(log n) |
—
|
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(log n) | Statement: [B-tree, timeComplexityDeletion, O(log n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeComplexityDeletion Context triple: [B-tree, timeComplexityDeletion, O(log n)]
-
A.
timeComplexity
chosen
Indicates the computational growth rate of an algorithm’s resource usage (typically time) as a function of input size.
-
B.
dropCount
Indicates the number of times an entity has been dropped or caused to drop something.
-
C.
destroyedDuring
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
D.
loserElimination
Indicates that the entity identified as the loser in a competition, game, or contest is removed or disqualified from further participation.
-
E.
removalPeriod
Indicates the time span during which something is taken away, deleted, or otherwise removed from availability or consideration.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.