Triple
T14911073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's fences |
E371260
|
entity |
| Predicate | typicalUpperFenceFormula |
P116645
|
FINISHED |
| Object | Q3 + k × IQR |
—
|
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: Q3 + k × IQR | Statement: [Tukey's fences, typicalUpperFenceFormula, Q3 + k × IQR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUpperFenceFormula Context triple: [Tukey's fences, typicalUpperFenceFormula, Q3 + k × IQR]
-
A.
upperLimit
Indicates that one entity specifies the maximum allowable value, quantity, or boundary for another entity or condition.
-
B.
isUpperBoundFor
Indicates that one value is greater than or equal to every element in a given set or collection, serving as an upper limit for them.
-
C.
upperBandWidth
Indicates the maximum bandwidth limit or upper threshold of data transfer capacity allowed or supported in a given context.
-
D.
upperSlopeAngle
Indicates the angle of the slope on the upper portion of an object or surface relative to a reference plane or direction.
-
E.
typicalExponent
Indicates that one quantity serves as the characteristic or standard exponent associated with another quantity or expression.
- F. None of above. chosen
Provenance (4 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:26 a.m.