Triple
T25433188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liouville number |
E637310
|
entity |
| Predicate | densityProperty |
P93628
|
FINISHED |
| Object | between any two real numbers there exists a Liouville number |
—
|
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: between any two real numbers there exists a Liouville number | Statement: [Liouville number, densityProperty, between any two real numbers there exists a Liouville number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: densityProperty Context triple: [Liouville number, densityProperty, between any two real numbers there exists a Liouville number]
-
A.
densityCharacteristic
chosen
Indicates that one entity specifies or characterizes the density property or density-related attribute of another entity.
-
B.
densityClass
Indicates the classification of an entity based on its density level or range.
-
C.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
D.
densityComparedTo
Indicates a comparison between the densities of two entities, specifying which is denser or how their densities relate.
-
E.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6dc7d088190b1e4c191172ea256 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:58 p.m.