Triple
T37074949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasEfficiencySymbol |
P187471
|
FINISHED |
| Object | η |
—
|
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: η | Statement: [Carnot engine, hasEfficiencySymbol, η]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEfficiencySymbol Context triple: [Carnot engine, hasEfficiencySymbol, η]
-
A.
hasEfficiencyMetric
Indicates that an entity is associated with a specific measure or metric used to evaluate its efficiency.
-
B.
hasMaximumEfficiencyAt
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
-
C.
claimedEfficiency
Indicates that an entity asserts or reports a certain level of efficiency, regardless of whether that efficiency is verified or actual.
-
D.
isMoreEfficientThan
Indicates that one entity performs a task or uses resources in a way that achieves the same or better outcome with less time, effort, or cost than another entity.
-
E.
energyEfficiencyList
Indicates that an entity is included in a list or classification based on its level of energy efficiency.
- 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_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:14 p.m.