Triple
T29076531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierpiński carpet |
E735955
|
entity |
| Predicate | topologicalDimension |
P53031
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sierpiński carpet, topologicalDimension, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topologicalDimension Context triple: [Sierpiński carpet, topologicalDimension, 1]
-
A.
boundaryDimension
Indicates the dimensionality of the boundary of an entity, such as whether its boundary is a point, line, surface, or higher-dimensional analogue.
-
B.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
C.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
-
D.
hasHausdorffDimension
Indicates that a mathematical object is associated with a specific Hausdorff dimension value, expressing the fractal or geometric complexity of the object.
-
E.
hasDimensionality
chosen
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f660fdf5f08190b36e506672b64683 |
completed | May 2, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:23 a.m.