Triple
T22737254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius equation |
E562307
|
entity |
| Predicate | slopeOfArrheniusPlot |
P149519
|
FINISHED |
| Object | -E_a/R |
—
|
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: -E_a/R | Statement: [Arrhenius equation, slopeOfArrheniusPlot, -E_a/R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeOfArrheniusPlot Context triple: [Arrhenius equation, slopeOfArrheniusPlot, -E_a/R]
-
A.
temperatureDependenceExponent
Indicates how strongly a quantity or process changes in response to variations in temperature, typically expressed as an exponent in a temperature-dependent relationship.
-
B.
erosionRate
Indicates the rate at which material is worn away or removed from a surface over time due to erosive processes.
-
C.
thermalExpansionCoefficient
Indicates how much a material's size changes per unit length (or volume) for each degree change in temperature.
-
D.
usesWeightedAverageOfSlopes
Indicates that something is determined or calculated by taking a weighted average of multiple slope values.
-
E.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179707fd081909aed9b2f62b9f842 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:22 p.m.