Triple
T7705232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgeworth expansion |
E174595
|
entity |
| Predicate | isOftenDerivedUsing |
P29592
|
FINISHED |
| Object | characteristic functions |
—
|
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: characteristic functions | Statement: [Edgeworth expansion, isOftenDerivedUsing, characteristic functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenDerivedUsing Context triple: [Edgeworth expansion, isOftenDerivedUsing, characteristic functions]
-
A.
derivedFrom
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
B.
derivedBy
chosen
Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
-
C.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
D.
notDerivedFrom
Indicates that one entity is explicitly not obtained, inferred, or produced from another entity.
-
E.
isFrequentlyProducedBy
Indicates that something is commonly or regularly generated, created, or brought about by a particular entity or source.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.