Triple
T24081827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chi-square distribution |
E596523
|
entity |
| Predicate | cumulativeShape |
P154782
|
FINISHED |
| Object | increasing and concave for small x |
—
|
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: increasing and concave for small x | Statement: [chi-square distribution, cumulativeShape, increasing and concave for small x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cumulativeShape Context triple: [chi-square distribution, cumulativeShape, increasing and concave for small x]
-
A.
cumulativeProperty
Indicates that a property of a whole is derived by aggregating or summing corresponding properties of its parts or components.
-
B.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
C.
clusterShape
Indicates the geometric form or configuration that a cluster of related items or points takes.
-
D.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
E.
trackShape
Indicates the geometric form or layout pattern that a track follows.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc24b0d081909fcae5e34c6e3b98 |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:43 p.m.