Triple
T37074918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasEfficiency |
P49749
|
FINISHED |
| Object | maximum possible for given temperature reservoirs |
—
|
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: maximum possible for given temperature reservoirs | Statement: [Carnot engine, hasEfficiency, maximum possible for given temperature reservoirs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEfficiency Context triple: [Carnot engine, hasEfficiency, maximum possible for given temperature reservoirs]
-
A.
hasEfficiencyMetric
Indicates that an entity is associated with a specific measure or metric used to evaluate its efficiency.
-
B.
efficiency
Indicates how effectively an entity converts inputs (such as time, energy, or resources) into desired outputs or results.
-
C.
hasMaximumEfficiencyAt
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
-
D.
maximumEfficiency
chosen
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
E.
claimedEfficiency
Indicates that an entity asserts or reports a certain level of efficiency, regardless of whether that efficiency is verified or actual.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.