Triple
T12070354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose gas |
E287406
|
entity |
| Predicate | hasThermodynamicQuantity |
P103044
|
FINISHED |
| Object | Bose gas pressure |
—
|
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: Bose gas pressure | Statement: [Bose gas, hasThermodynamicQuantity, Bose gas pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThermodynamicQuantity Context triple: [Bose gas, hasThermodynamicQuantity, Bose gas pressure]
-
A.
hasConservedQuantity
Indicates that a system or process possesses a quantity that remains constant (is conserved) throughout its evolution or interactions.
-
B.
hasOrderOfMagnitudeInJoules
Indicates that the quantity associated with an entity is approximately of a specified order of magnitude when measured in joules.
-
C.
hasQuantumNumber
Indicates that an entity (such as a particle or state) is associated with a specific quantum number value characterizing one of its quantized properties.
-
D.
belongsToPhysicalQuantity
Indicates that one entity is a component, attribute, or part of a specific physical quantity, linking it to that quantity as its owner or container.
-
E.
containsThermalBath
Indicates that one entity includes or features a thermal bath within its premises or composition.
- 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_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. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.