Triple
T25433445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pólya’s theorem on random walks |
E637316
|
entity |
| Predicate | transienceHoldsForDimension |
P169212
|
FINISHED |
| Object | 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: 3 | Statement: [Pólya’s theorem on random walks, transienceHoldsForDimension, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transienceHoldsForDimension Context triple: [Pólya’s theorem on random walks, transienceHoldsForDimension, 3]
-
A.
recurrenceHoldsForDimension
Indicates that a specified recurrence relationship is valid or applies along a particular dimension or axis.
-
B.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
-
C.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
D.
boundaryDimension
Indicates the dimensionality of the boundary of an entity, such as whether its boundary is a point, line, surface, or higher-dimensional analogue.
-
E.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 21, 2026, 1:59 p.m.