Triple
T2059436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FE Civil |
E45752
|
entity |
| Predicate | calculatorPolicy |
P35520
|
FINISHED |
| Object | only NCEES-approved calculators permitted |
—
|
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: only NCEES-approved calculators permitted | Statement: [FE Civil, calculatorPolicy, only NCEES-approved calculators permitted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calculatorPolicy Context triple: [FE Civil, calculatorPolicy, only NCEES-approved calculators permitted]
-
A.
conversionPolicyImposedBy
Indicates that a specific conversion policy is mandated or enforced by a particular authority or entity.
-
B.
gradingPolicy
Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
-
C.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
D.
feePolicy
Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
-
E.
policyTool
Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.