Triple
T37074929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnot engine |
E917683
|
entity |
| Predicate | hasEntropyChangeOverCycle |
P195878
|
FINISHED |
| Object | zero |
—
|
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: zero | Statement: [Carnot engine, hasEntropyChangeOverCycle, zero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntropyChangeOverCycle Context triple: [Carnot engine, hasEntropyChangeOverCycle, zero]
-
A.
hasEntropy
Indicates that an entity possesses or is characterized by a certain amount or state of entropy, typically reflecting its degree of disorder or uncertainty.
-
B.
hasNumberInCycle
Indicates that a given number appears within a specified repeating sequence or cycle associated with an entity or process.
-
C.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
D.
hasRegenerationCycleWith
Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
-
E.
hasChaoticRotation
Indicates that an object rotates in a highly irregular, unpredictable manner rather than following a stable, consistent spin.
- 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_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_69fdec5f0420819087c0230ad384c4ba |
completed | May 8, 2026, 1:59 p.m. |
Created at: May 3, 2026, 4:14 p.m.