Triple
T37074946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasHeatRejectedSymbol |
P195751
|
FINISHED |
| Object | Qc |
—
|
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: Qc | Statement: [Carnot engine, hasHeatRejectedSymbol, Qc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatRejectedSymbol Context triple: [Carnot engine, hasHeatRejectedSymbol, Qc]
-
A.
hasHeatAbsorbedSymbol
Indicates that a quantity, process, or system is associated with a specific symbol denoting the heat it has absorbed.
-
B.
hasHeatRejection
Indicates that one entity is capable of rejecting, dissipating, or removing heat from another entity or from a thermal system.
-
C.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
D.
losesHeatTo
Indicates that one entity transfers thermal energy to another, resulting in a decrease in the first entity’s heat.
-
E.
isHot
Indicates that an entity has a high temperature or is perceived as very warm.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: May 3, 2026, 4:14 p.m.