Triple
T462004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boltzmann constant |
E7358
|
entity |
| Predicate | microscopicMacroscopicLink |
P14271
|
FINISHED |
| Object | relates microscopic particle properties to macroscopic thermodynamic quantities |
—
|
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: relates microscopic particle properties to macroscopic thermodynamic quantities | Statement: [Boltzmann constant, microscopicMacroscopicLink, relates microscopic particle properties to macroscopic thermodynamic quantities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microscopicMacroscopicLink Context triple: [Boltzmann constant, microscopicMacroscopicLink, relates microscopic particle properties to macroscopic thermodynamic quantities]
-
A.
partOfContinuum
Indicates that one entity exists as a segment or phase within a continuous sequence, range, or progression that includes the other entity.
-
B.
mirrorCount
Indicates the number of mirrors associated with or present in relation to a given entity or context.
-
C.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
D.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
E.
metBetween
Indicates that two or more entities had an in-person or virtual meeting or encounter with each other during a specified time or context.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc09eac8190add4bb5823b53ba7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef06d2fc8190b379d575215a8518 |
completed | Feb. 28, 2026, 1:35 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.