Triple
T24957241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fano inequality |
E624508
|
entity |
| Predicate | expressesRelationBetween |
P8534
|
FINISHED |
| Object | error probability P_e |
—
|
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: error probability P_e | Statement: [Fano inequality, expressesRelationBetween, error probability P_e]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressesRelationBetween Context triple: [Fano inequality, expressesRelationBetween, error probability P_e]
-
A.
formalizesRelationBetween
Indicates a relationship in which one entity defines, codifies, or gives formal structure to the relationship that exists between two or more other entities.
-
B.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
C.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
definesRelationshipBetween
chosen
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:58 a.m.