Triple
T9843698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy distribution |
E239287
|
entity |
| Predicate | requiresScaleParameterCondition |
P90307
|
FINISHED |
| Object | γ > 0 |
—
|
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: γ > 0 | Statement: [Cauchy distribution, requiresScaleParameterCondition, γ > 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresScaleParameterCondition Context triple: [Cauchy distribution, requiresScaleParameterCondition, γ > 0]
-
A.
requiresFeatureScaling
Indicates that applying feature scaling is a necessary preprocessing step for the associated data or model.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
coversScale
Indicates that one entity spans, includes, or applies across the full range or extent of another entity’s scale.
-
D.
scalesWith
Indicates that a change in one quantity is systematically associated with a proportional or otherwise dependent change in another quantity.
-
E.
requiresMeasures
Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35c8e348190aa090c71bf6f30eb |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.