Triple
T26446840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearson correlation coefficient |
E665236
|
entity |
| Predicate | undefinedWhen |
P148132
|
FINISHED |
| Object | either variable has zero variance |
—
|
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: either variable has zero variance | Statement: [Pearson correlation coefficient, undefinedWhen, either variable has zero variance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undefinedWhen Context triple: [Pearson correlation coefficient, undefinedWhen, either variable has zero variance]
-
A.
hasUncertainNature
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
-
B.
doesNotDetermine
Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
-
C.
unknownFor
chosen
Indicates that some information, value, or property about one entity is not known or not determined with respect to another entity.
-
D.
neverRepresentedBy
Indicates that one entity has at no time been represented or acted on behalf of by the other entity.
-
E.
never
Indicates that the specified relationship or action does not occur at any time or under any circumstances.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61262052c8190957e30216b5acd53 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:02 a.m.