Triple
T9809633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbrand universe |
E238235
|
entity |
| Predicate | cardinalityProperty |
P23694
|
FINISHED |
| Object | can be finite |
—
|
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: can be finite | Statement: [Herbrand universe, cardinalityProperty, can be finite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalityProperty Context triple: [Herbrand universe, cardinalityProperty, can be finite]
-
A.
cardinality
chosen
Indicates the number of distinct elements or members in a given set or collection.
-
B.
numberOfAssociationsRepresented
Indicates the total count of associations that are captured or represented by a given entity or construct.
-
C.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
D.
aggregationProperty
Indicates that one entity serves as an aggregation or summary of values or instances associated with another entity.
-
E.
typeOfUniqueness
Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb220310c8190a16ca0b746f0ef7a |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.