Triple
T24806896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rhombicuboctahedron |
E620678
|
entity |
| Predicate | hasEdgeCountRelation |
P157340
|
FINISHED |
| Object | each edge shared by 1 triangle and 1 square |
—
|
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: each edge shared by 1 triangle and 1 square | Statement: [rhombicuboctahedron, hasEdgeCountRelation, each edge shared by 1 triangle and 1 square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEdgeCountRelation Context triple: [rhombicuboctahedron, hasEdgeCountRelation, each edge shared by 1 triangle and 1 square]
-
A.
hasEdgeCount
Indicates that there is a specified number of edges associated with an entity, such as a graph or geometric shape.
-
B.
hasEdge
Indicates that there exists a direct connection or link (an edge) between two entities in a graph or network.
-
C.
hasEdgeConnectivity
Indicates that there exists a connection or link (such as a graph edge or network link) between two entities.
-
D.
hasJunctionCount
Indicates the number of junctions associated with or contained in a given entity.
-
E.
edgeMultiplicity
Indicates how many parallel or repeated connections (edges) exist between the same pair of entities in a relationship.
- 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_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. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 4:50 a.m.