Triple
T26981245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celsius |
E679604
|
entity |
| Predicate | conversionToFahrenheit |
P114045
|
FINISHED |
| Object | °F = (9/5)·°C + 32 |
—
|
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: °F = (9/5)·°C + 32 | Statement: [Celsius, conversionToFahrenheit, °F = (9/5)·°C + 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToFahrenheit Context triple: [Celsius, conversionToFahrenheit, °F = (9/5)·°C + 32]
-
A.
conversionFromCelsiusFormula
chosen
Indicates the mathematical formula used to convert a temperature value expressed in degrees Celsius into another temperature scale.
-
B.
intervalRelationToCelsius
Indicates how a given interval or range is related to a corresponding interval or range expressed in degrees Celsius.
-
C.
offsetFromFahrenheit
Indicates the numerical difference between a given temperature value and its equivalent expressed in degrees Fahrenheit.
-
D.
scaleZeroApproximateCelsiusEquivalent
Indicates that one scale’s zero point approximately corresponds to the temperature defined as zero degrees on the Celsius scale.
-
E.
conversionUse
Indicates that one entity is used as a means, method, or context for converting another entity from one form, state, or representation to another.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 6:46 a.m.