Triple
T1462607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLT |
E31545
|
entity |
| Predicate | typicalSampleSizeRuleOfThumb |
P28822
|
FINISHED |
| Object | n ≥ 30 for many practical applications |
—
|
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: n ≥ 30 for many practical applications | Statement: [CLT, typicalSampleSizeRuleOfThumb, n ≥ 30 for many practical applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSampleSizeRuleOfThumb Context triple: [CLT, typicalSampleSizeRuleOfThumb, n ≥ 30 for many practical applications]
-
A.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
-
B.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
C.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
D.
typicalUnitSize
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
-
E.
estimatedConstituencySize
Indicates the approximate number of individuals or units that are believed to fall within a particular constituency or represented group.
- F. None of above. chosen
Provenance (4 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5b6e36c81909c47b2f7e66f17d7 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.