Triple
T23837633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von Neumann entropy |
E590895
|
entity |
| Predicate | isPositiveFor |
P149156
|
FINISHED |
| Object | mixed states |
—
|
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: mixed states | Statement: [von Neumann entropy, isPositiveFor, mixed states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPositiveFor Context triple: [von Neumann entropy, isPositiveFor, mixed states]
-
A.
hasPositiveForm
Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
-
B.
positivityProperty
Indicates that something possesses a positive, beneficial, or favorable quality, effect, or evaluation.
-
C.
isValuedFor
Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
-
D.
isApprovedFor
Indicates that one entity has been officially authorized, accepted, or permitted for use, access, or association with another entity.
-
E.
positiveValueMeans
chosen
Indicates that a positive numerical value for a property or measure corresponds to the presence, increase, or affirmation of the associated condition or effect.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c883c7108190b3cce6fec0b8609a |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:07 p.m.