Triple
T37074947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasHotReservoirTemperatureSymbol |
P4459
|
FINISHED |
| Object | Th |
—
|
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: Th | Statement: [Carnot engine, hasHotReservoirTemperatureSymbol, Th]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotReservoirTemperatureSymbol Context triple: [Carnot engine, hasHotReservoirTemperatureSymbol, Th]
-
A.
hasHeatAbsorbedSymbol
Indicates that a quantity, process, or system is associated with a specific symbol denoting the heat it has absorbed.
-
B.
hasTemperature
chosen
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
hasTemperatureQualifier
Indicates that a temperature value is associated with a specific qualifier (such as approximate, minimum, maximum, or range) that refines or constrains its meaning.
-
D.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
E.
hasTemper
Indicates that an entity possesses a particular temperament, emotional disposition, or tendency toward certain emotional reactions.
- 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_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 3, 2026, 4:14 p.m.