Triple
T20627138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radon’s theorem |
E506848
|
entity |
| Predicate | hasGeneralization |
P2372
|
FINISHED |
| Object | colorful Radon theorem |
—
|
NE NERFINISHED |
How this triple was built (3 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: colorful Radon theorem | Statement: [Radon’s theorem, hasGeneralization, colorful Radon theorem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: colorful Radon theorem Context triple: [Radon’s theorem, hasGeneralization, colorful Radon theorem]
-
A.
Radon’s theorem
Radon’s theorem is a fundamental result in convex geometry stating that any set of sufficiently many points in Euclidean space can be partitioned into two disjoint subsets whose convex hulls intersect.
-
B.
Tverberg’s theorem
Tverberg’s theorem is a fundamental result in combinatorial geometry that guarantees any sufficiently large set of points in Euclidean space can be partitioned into subsets whose convex hulls all intersect.
-
C.
colorful Helly theorem
The colorful Helly theorem is a combinatorial geometric result that generalizes Helly’s theorem by asserting intersection properties for families of convex sets partitioned into color classes.
-
D.
Helly’s theorem
Helly’s theorem is a fundamental result in convex geometry that gives conditions under which a family of convex sets in Euclidean space has a nonempty common intersection.
-
E.
Sylvester–Gallai theorem
The Sylvester–Gallai theorem is a result in incidence geometry stating that for any finite set of points in the Euclidean plane not all on a single line, there exists a line that passes through exactly two of the points.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: colorful Radon theorem Target entity description: The colorful Radon theorem is a combinatorial result in discrete geometry that extends Radon’s theorem by guaranteeing a partition with intersecting convex hulls when points are chosen from several differently “colored” sets.
-
A.
Radon’s theorem
Radon’s theorem is a fundamental result in convex geometry stating that any set of sufficiently many points in Euclidean space can be partitioned into two disjoint subsets whose convex hulls intersect.
-
B.
Tverberg’s theorem
Tverberg’s theorem is a fundamental result in combinatorial geometry that guarantees any sufficiently large set of points in Euclidean space can be partitioned into subsets whose convex hulls all intersect.
-
C.
colorful Helly theorem
chosen
The colorful Helly theorem is a combinatorial geometric result that generalizes Helly’s theorem by asserting intersection properties for families of convex sets partitioned into color classes.
-
D.
Helly’s theorem
Helly’s theorem is a fundamental result in convex geometry that gives conditions under which a family of convex sets in Euclidean space has a nonempty common intersection.
-
E.
Sylvester–Gallai theorem
The Sylvester–Gallai theorem is a result in incidence geometry stating that for any finite set of points in the Euclidean plane not all on a single line, there exists a line that passes through exactly two of the points.
- F. None of above.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe576c081909231dc0d7304b9a9 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.