Triple
T24857575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleph (mathematics) |
E622067
|
entity |
| Predicate | cardinalityExample |
P157764
|
FINISHED |
| Object | |ℕ| = ℵ₀ |
—
|
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: |ℕ| = ℵ₀ | Statement: [Aleph (mathematics), cardinalityExample, |ℕ| = ℵ₀]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalityExample Context triple: [Aleph (mathematics), cardinalityExample, |ℕ| = ℵ₀]
-
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.
createdCardinalOf
Indicates that an entity established or founded the position or office of a cardinal for another entity.
-
D.
hasCardinal
Indicates that something possesses or is associated with a specific cardinal number or quantity.
-
E.
typeOfCardinal
Indicates a classification relationship where one entity is a specific kind or subtype of a broader cardinal category represented by the other entity.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:21 a.m.