Triple
T22457612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Failure Mode and Effects Analysis |
E555154
|
entity |
| Predicate | RPNFormula |
P12675
|
FINISHED |
| Object | RPN = Severity × Occurrence × Detection |
—
|
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: RPN = Severity × Occurrence × Detection | Statement: [Failure Mode and Effects Analysis, RPNFormula, RPN = Severity × Occurrence × Detection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RPNFormula Context triple: [Failure Mode and Effects Analysis, RPNFormula, RPN = Severity × Occurrence × Detection]
-
A.
formulaUsed
Indicates that a particular formula is employed or applied in performing a calculation, derivation, or reasoning step.
-
B.
formulaType
Indicates the specific kind or category of formula associated with an entity or expression.
-
C.
recitesFormula
Indicates that one entity verbally or mentally repeats a specific formula, such as a set phrase, equation, or ritual wording, typically from memory.
-
D.
regulationFormula
Indicates the specific rule or formula that governs how a process, behavior, or quantity is controlled or regulated.
-
E.
mathematicallyExpressedBy
chosen
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7d00208190955a70e2c22d25a4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.