Triple
T14030509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fibonacci search |
E337573
|
entity |
| Predicate | isEfficientWhen |
P38516
|
FINISHED |
| Object | array size is large and random access is cheap |
—
|
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: array size is large and random access is cheap | Statement: [Fibonacci search, isEfficientWhen, array size is large and random access is cheap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEfficientWhen Context triple: [Fibonacci search, isEfficientWhen, array size is large and random access is cheap]
-
A.
isMoreEfficientThan
Indicates that one entity performs a task or uses resources in a way that achieves the same or better outcome with less time, effort, or cost than another entity.
-
B.
moreEfficientThan
Indicates that one entity performs a task or uses resources with greater efficiency than another entity.
-
C.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
-
D.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
E.
hasMaximumEfficiencyAt
chosen
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.