Triple
T24816888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rhombicosidodecahedron |
E620946
|
entity |
| Predicate | hasSurfaceAreaFormula |
P158120
|
FINISHED |
| Object | A = (30 + 10*sqrt(3) + 12*sqrt(25 + 10*sqrt(5))) * a^2 |
—
|
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: A = (30 + 10*sqrt(3) + 12*sqrt(25 + 10*sqrt(5))) * a^2 | Statement: [rhombicosidodecahedron, hasSurfaceAreaFormula, A = (30 + 10*sqrt(3) + 12*sqrt(25 + 10*sqrt(5))) * a^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceAreaFormula Context triple: [rhombicosidodecahedron, hasSurfaceAreaFormula, A = (30 + 10*sqrt(3) + 12*sqrt(25 + 10*sqrt(5))) * a^2]
-
A.
hasApproximateSurfaceArea
Indicates that an entity is associated with a surface area value that is an estimate rather than an exact measurement.
-
B.
facesArea
Indicates that one entity is oriented toward, overlooks, or has its primary exposure directed toward a specified area.
-
C.
hasBaseArea
Indicates that one entity has a base whose surface area is quantified or associated with another entity.
-
D.
hasSurfaceForm
Indicates that an abstract concept, entity, or linguistic unit is realized or expressed in a specific textual or lexical form.
-
E.
surfaceAreaRelative
Indicates the ratio or comparative measure of one entity’s surface area relative to another reference surface area.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 5:03 a.m.