Triple
T1535803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry–Esseen theorem |
E32545
|
entity |
| Predicate | typicalConstantRange |
P13474
|
FINISHED |
| Object | between 0.4 and 1 in many formulations |
—
|
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: between 0.4 and 1 in many formulations | Statement: [Berry–Esseen theorem, typicalConstantRange, between 0.4 and 1 in many formulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalConstantRange Context triple: [Berry–Esseen theorem, typicalConstantRange, between 0.4 and 1 in many formulations]
-
A.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
B.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
C.
typicalRuntimeRange
Indicates the usual lower and upper bounds of time typically required for an entity to run or complete its operation.
-
D.
rangeType
Indicates the type or category of values that can appear in the range (output) position of a property or relation.
-
E.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.