Triple
T18791076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomuto partition scheme |
E459514
|
entity |
| Predicate | numberOfScans |
P117519
|
FINISHED |
| Object | one forward scan of the array segment |
—
|
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: one forward scan of the array segment | Statement: [Lomuto partition scheme, numberOfScans, one forward scan of the array segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfScans Context triple: [Lomuto partition scheme, numberOfScans, one forward scan of the array segment]
-
A.
scans
Indicates performing a systematic examination or inspection of something, often using a device or method to detect, read, or analyze its contents or structure.
-
B.
numberOfCompleteSweeps
chosen
Indicates the total count of times a process or operation has fully traversed or cycled through its entire scope.
-
C.
usesScanningMethod
Indicates that an entity performs or carries out an action by employing a specific scanning method.
-
D.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an entity.
-
E.
numberOfReconstructions
Indicates the count of times an entity has been reconstructed or rebuilt.
- 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_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. |
Created at: April 10, 2026, 11:53 a.m.