Triple
T9564436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck scale |
E230754
|
entity |
| Predicate | orderOfMagnitudeTemperature |
P25815
|
FINISHED |
| Object | 1.42e32 kelvin |
—
|
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: 1.42e32 kelvin | Statement: [Planck scale, orderOfMagnitudeTemperature, 1.42e32 kelvin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMagnitudeTemperature Context triple: [Planck scale, orderOfMagnitudeTemperature, 1.42e32 kelvin]
-
A.
temperatureOrderOfMagnitude
chosen
Indicates that the temperatures of the related entities differ by approximately a specified order of magnitude (i.e., by a power-of-ten scale factor).
-
B.
dimensionOfTemperature
Indicates that one entity represents the physical dimension or measure associated with temperature for another entity.
-
C.
typicalTemperatureScale
Indicates the temperature scale (such as Celsius or Fahrenheit) that is normally used to express temperature values for the given entity or context.
-
D.
temperatureRangeDifference
Indicates the difference between two temperature ranges, typically measuring how much one range is higher or lower than another.
-
E.
temperatureProportionalTo
Indicates that the temperature of one entity changes in direct proportion to the temperature 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996a01b081908e2782f41520f73d |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.