Triple
T26981244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celsius |
E679604
|
entity |
| Predicate | conversionToKelvin |
P114045
|
FINISHED |
| Object | K = °C + 273.15 |
—
|
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: K = °C + 273.15 | Statement: [Celsius, conversionToKelvin, K = °C + 273.15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToKelvin Context triple: [Celsius, conversionToKelvin, K = °C + 273.15]
-
A.
intervalRelationToCelsius
Indicates how a given interval or range is related to a corresponding interval or range expressed in degrees Celsius.
-
B.
conversionFromCelsiusFormula
chosen
Indicates the mathematical formula used to convert a temperature value expressed in degrees Celsius into another temperature scale.
-
C.
scaleZeroApproximateCelsiusEquivalent
Indicates that one scale’s zero point approximately corresponds to the temperature defined as zero degrees on the Celsius scale.
-
D.
offsetFromKelvin
Indicates a temperature value expressed as an offset or difference relative to the Kelvin scale rather than as an absolute Kelvin measurement.
-
E.
isAbsoluteTemperatureScale
Indicates that a temperature scale has an absolute zero point and measures temperature starting from that theoretical minimum.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 6:46 a.m.