Triple
T24806870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rhombicuboctahedron |
E620678
|
entity |
| Predicate | hasNumberOfVertices |
P98644
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [rhombicuboctahedron, hasNumberOfVertices, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfVertices Context triple: [rhombicuboctahedron, hasNumberOfVertices, 24]
-
A.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
B.
vertexCount
chosen
Indicates the number of vertices associated with a given geometric or graph-based entity.
-
C.
hasNumberOfPoints
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
D.
hasVertexSet
Indicates that a graph or geometric object is associated with, or defined by, a specific set of vertices.
-
E.
hasEdgeCount
Indicates that there is a specified number of edges associated with an entity, such as a graph or geometric shape.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.