Triple
T7338329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leech lattice |
E169185
|
entity |
| Predicate | spherePackingDensity |
P77158
|
FINISHED |
| Object | highestKnownIn24Dimensions |
—
|
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: highestKnownIn24Dimensions | Statement: [Leech lattice, spherePackingDensity, highestKnownIn24Dimensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spherePackingDensity Context triple: [Leech lattice, spherePackingDensity, highestKnownIn24Dimensions]
-
A.
numberOfSpheres
Indicates the quantity of spheres associated with or contained by a given entity.
-
B.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
-
C.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
D.
isNearlySpherical
Indicates that an object has a shape that closely approximates a sphere, with only minor deviations from perfect sphericity.
-
E.
numberOfSpiredTetrahedrons
Indicates the count of spired tetrahedron structures associated with a given subject.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.