Triple
T475217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principles and Practice of Engineering exam |
E9045
|
entity |
| Predicate | preLicensureStage |
P9657
|
FINISHED |
| Object | second stage after FE exam |
—
|
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: second stage after FE exam | Statement: [Principles and Practice of Engineering exam, preLicensureStage, second stage after FE exam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preLicensureStage Context triple: [Principles and Practice of Engineering exam, preLicensureStage, second stage after FE exam]
-
A.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
B.
stageOf
chosen
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
C.
prelate
Indicates that an entity holds the office or role of a high-ranking clergy member within a religious hierarchy.
-
D.
preStandardizationStatus
Indicates the status or condition of something before it undergoes a standardization process.
-
E.
studiedUnder
Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f03b5e5081908ee3dba9d19a6871 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edeed31881908cf43beed410572d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.