Triple
T4975835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mott variable-range hopping |
E111762
|
entity |
| Predicate | temperatureDependenceExponent |
P60741
|
FINISHED |
| Object | 1/4 in three dimensions |
—
|
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: 1/4 in three dimensions | Statement: [Mott variable-range hopping, temperatureDependenceExponent, 1/4 in three dimensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temperatureDependenceExponent Context triple: [Mott variable-range hopping, temperatureDependenceExponent, 1/4 in three dimensions]
-
A.
temperatureDependent
Indicates that the existence, intensity, or outcome of a relationship or process varies as a function of temperature.
-
B.
thermalExpansionCoefficient
Indicates how much a material's size changes per unit length (or volume) for each degree change in temperature.
-
C.
temperatureProportionalTo
Indicates that the temperature of one entity changes in direct proportion to the temperature of another entity.
-
D.
thermalConductivity
Indicates how effectively heat is conducted through a material per unit temperature gradient.
-
E.
temperatureRelativeToSurroundings
Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:33 p.m.