Triple
T22737255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius equation |
E562307
|
entity |
| Predicate | interceptOfArrheniusPlot |
P149520
|
FINISHED |
| Object | ln A |
—
|
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: ln A | Statement: [Arrhenius equation, interceptOfArrheniusPlot, ln A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interceptOfArrheniusPlot Context triple: [Arrhenius equation, interceptOfArrheniusPlot, ln A]
-
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.
equilibriumConstantDependsOn
Indicates that the value of an equilibrium constant is determined by or varies as a function of another specified factor or condition.
-
C.
thermalDecompositionOnset
Indicates the temperature or condition at which a material first begins to undergo thermal decomposition.
-
D.
decayConstant
Indicates the proportional rate at which a quantity undergoing exponential decay decreases per unit time.
-
E.
decompositionTemperature
Indicates the temperature at which a substance begins to chemically decompose rather than remain stable or simply change physical state.
- 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.