Triple
T12071191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kinetic theory of gases |
E287424
|
entity |
| Predicate | providesMicroscopicInterpretationOf |
P14271
|
FINISHED |
| Object | temperature |
—
|
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: temperature | Statement: [kinetic theory of gases, providesMicroscopicInterpretationOf, temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesMicroscopicInterpretationOf Context triple: [kinetic theory of gases, providesMicroscopicInterpretationOf, temperature]
-
A.
microscopeType
Indicates the specific kind or category of microscope associated with an entity.
-
B.
microscopicStructure
Indicates the detailed arrangement and organization of components at a microscopic scale within an entity.
-
C.
pathologyFeature
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
D.
microscopicMacroscopicLink
chosen
Indicates a relationship where microscopic-level phenomena or properties are causally or explanatorily connected to macroscopic-level behavior or observations.
-
E.
laboratoryAnalysis
Indicates that a sample or material is being examined, tested, or measured using scientific procedures in a laboratory setting.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.