Triple
T22446362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ML language family |
E554871
|
entity |
| Predicate | typicalEvaluationStrategy |
P27645
|
FINISHED |
| Object | call-by-value (eager evaluation) |
—
|
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: call-by-value (eager evaluation) | Statement: [ML language family, typicalEvaluationStrategy, call-by-value (eager evaluation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEvaluationStrategy Context triple: [ML language family, typicalEvaluationStrategy, call-by-value (eager evaluation)]
-
A.
timeOfEvaluation
Indicates the specific time or moment at which an assessment, measurement, or judgment is made about an entity or situation.
-
B.
typicalValueFor
Indicates that one entity represents a standard, representative, or commonly occurring value associated with another entity.
-
C.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
D.
typicalPerformanceMode
chosen
Indicates the usual or most common way in which an entity performs an action or operates.
-
E.
evaluationFunction
Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.