Triple
T7705217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgeworth expansion |
E174595
|
entity |
| Predicate | isValidAs |
P9768
|
FINISHED |
| Object | asymptotic approximation as sample size tends to infinity |
—
|
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: asymptotic approximation as sample size tends to infinity | Statement: [Edgeworth expansion, isValidAs, asymptotic approximation as sample size tends to infinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isValidAs Context triple: [Edgeworth expansion, isValidAs, asymptotic approximation as sample size tends to infinity]
-
A.
validIn
chosen
Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
-
B.
hasValidity
Indicates that something possesses a period or condition during which it is considered legally, logically, or functionally acceptable or in force.
-
C.
validityType
Indicates the specific kind or category of validity that characterizes how or under what conditions something is considered valid.
-
D.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
E.
isVisibleAs
Indicates that one entity can be perceived or appears to observers under the form, name, or representation of 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_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.