Triple

T21047425
Position Surface form Disambiguated ID Type / Status
Subject Lindelöf space E518483 entity
Predicate hasCardinalityRestriction P129095 FINISHED
Object no restriction on underlying set cardinality 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: no restriction on underlying set cardinality | Statement: [Lindelöf space, hasCardinalityRestriction, no restriction on underlying set cardinality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCardinalityRestriction
Context triple: [Lindelöf space, hasCardinalityRestriction, no restriction on underlying set cardinality]
  • A. cardinalityCondition chosen
    Indicates a constraint on the number of instances or occurrences that a related entity or relationship must or may have.
  • B. hasCardinal
    Indicates that something possesses or is associated with a specific cardinal number or quantity.
  • C. hasTypeOfRestriction
    Indicates that an entity is subject to a specific kind or category of restriction that limits its use, access, or behavior.
  • D. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • E. cardinality
    Indicates the number of distinct elements or members in a given set or collection.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf4d26481908b639996500a8319 completed April 21, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:34 p.m.