Triple
T6929655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantor set |
E160400
|
entity |
| Predicate | hasHausdorffDimension |
P73728
|
FINISHED |
| Object | log(2)/log(3) |
—
|
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: log(2)/log(3) | Statement: [Cantor set, hasHausdorffDimension, log(2)/log(3)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHausdorffDimension Context triple: [Cantor set, hasHausdorffDimension, log(2)/log(3)]
-
A.
isHausdorff
Indicates that a topological space satisfies the Hausdorff separation property, meaning any two distinct points can be separated by disjoint open sets.
-
B.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
C.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
D.
hasIndividualDimension
Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
-
E.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1f5fcc8190b43f53f90fc1821c |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.