Triple
T24857577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleph (mathematics) |
E622067
|
entity |
| Predicate | cardinalityType |
P97312
|
FINISHED |
| Object | transfinite cardinal |
—
|
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: transfinite cardinal | Statement: [Aleph (mathematics), cardinalityType, transfinite cardinal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalityType Context triple: [Aleph (mathematics), cardinalityType, transfinite cardinal]
-
A.
cardinality
Indicates the number of distinct elements or members in a given set or collection.
-
B.
cardinalityCondition
Indicates a constraint on the number of instances or occurrences that a related entity or relationship must or may have.
-
C.
cardinalityExample
Indicates a relationship where an example is provided to illustrate the number or quantity (cardinality) of related entities in a given context.
-
D.
typeOfCardinal
chosen
Indicates a classification relationship where one entity is a specific kind or subtype of a broader cardinal category represented by the other entity.
-
E.
hasCardinal
Indicates that something possesses or is associated with a specific cardinal number or quantity.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:21 a.m.