Triple
T38260740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenier map |
E1017920
|
entity |
| Predicate | hasRegularityDependingOn |
P90303
|
FINISHED |
| Object | regularity of source and target densities |
—
|
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: regularity of source and target densities | Statement: [Brenier map, hasRegularityDependingOn, regularity of source and target densities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularityDependingOn Context triple: [Brenier map, hasRegularityDependingOn, regularity of source and target densities]
-
A.
hasRegularity
Indicates that one entity exhibits a consistent, recurring pattern or uniform behavior with respect to another entity or over time.
-
B.
regularityAssumption
chosen
Indicates that a relationship or process is assumed to behave in a consistent, well-behaved manner (e.g., continuity, smoothness, or stability) so that certain analyses or inferences are valid.
-
C.
areRegularIn
Indicates that entities participate in or occur within a context, pattern, or structure in a consistent, uniform, and rule-governed manner.
-
D.
regulatesOrIsRegulatedBy
Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
-
E.
oftenDeterministicDuring
Indicates that one entity tends to behave or occur in a predictable, rule-governed way during the time, process, or condition specified by 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.