Triple
T12703548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clausius theorem |
E303521
|
entity |
| Predicate | inequalityDirection |
P105609
|
FINISHED |
| Object | less than or equal to 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: less than or equal to zero | Statement: [Clausius theorem, inequalityDirection, less than or equal to zero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inequalityDirection Context triple: [Clausius theorem, inequalityDirection, less than or equal to zero]
-
A.
inequality
Indicates that there is a difference or lack of equality in status, rights, opportunities, or treatment between entities.
-
B.
satisfiesInequality
chosen
Indicates that one quantity or expression fulfills the condition specified by a given inequality relation (such as <, ≤, >, or ≥).
-
C.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
D.
definesDirection
Indicates that one entity specifies or establishes the orientation, course, or path along which another entity is directed or proceeds.
-
E.
directionalOperation
Indicates an operation whose effect depends on or is applied along a specific direction or orientation between entities.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.