Triple
T24816850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rhombicosidodecahedron |
E620946
|
entity |
| Predicate | hasNumberOfTriangularFaces |
P20260
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [rhombicosidodecahedron, hasNumberOfTriangularFaces, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfTriangularFaces Context triple: [rhombicosidodecahedron, hasNumberOfTriangularFaces, 20]
-
A.
hasNumberOfTriangles
chosen
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
B.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
-
C.
isFaceTransitive
Indicates that a face-to-face relation between entities is transitive, so if one entity is face-related to a second, and the second is face-related to a third, then the first is also face-related to the third.
-
D.
hasFaceTransitivityType
Indicates the type of transitivity relationship that holds between faces in a geometric or topological structure.
-
E.
areFaceTransitive
Indicates that a face-to-face relationship between entities can be inferred transitively through intermediate face relationships (i.e., if A faces B and B faces C, then A faces C).
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:03 a.m.