Triple
T16991815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fifty-Nine Icosahedra |
E412210
|
entity |
| Predicate | hasMainPolyhedron |
P15759
|
FINISHED |
| Object | icosahedron |
—
|
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: icosahedron | Statement: [The Fifty-Nine Icosahedra, hasMainPolyhedron, icosahedron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPolyhedron Context triple: [The Fifty-Nine Icosahedra, hasMainPolyhedron, icosahedron]
-
A.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
-
B.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
-
C.
hasRelatedPolygon
Indicates that one entity is associated with another entity that is represented or defined as a polygon.
-
D.
hasCornerCount
Indicates that an entity is associated with a specific number of corners.
-
E.
hasMajorComponent
chosen
Indicates that one entity includes another entity as a primary or most significant component or part.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.