Triple
T25859060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSClock page replacement algorithm |
E651431
|
entity |
| Predicate | avoidsEvicting |
P17548
|
FINISHED |
| Object | recently used pages |
—
|
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: recently used pages | Statement: [WSClock page replacement algorithm, avoidsEvicting, recently used pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: avoidsEvicting Context triple: [WSClock page replacement algorithm, avoidsEvicting, recently used pages]
-
A.
seeksToAvoid
Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
-
B.
designedToAvoid
chosen
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
-
C.
neverFreezes
Indicates that the subject is never in a state of freezing, i.e., it does not reach or experience freezing conditions under any circumstances.
-
D.
evictionType
Indicates the specific kind or category of eviction that applies in a given eviction event or relationship.
-
E.
evictionOccurredIn
Indicates that an eviction event took place within or at a specified location or jurisdiction.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026a80208190a8b1fae20d6ed906 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:04 a.m.