Triple
T475226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principles and Practice of Engineering exam |
E9045
|
entity |
| Predicate | targetCandidate |
P13472
|
FINISHED |
| Object | engineers with sufficient work experience |
—
|
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: engineers with sufficient work experience | Statement: [Principles and Practice of Engineering exam, targetCandidate, engineers with sufficient work experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCandidate Context triple: [Principles and Practice of Engineering exam, targetCandidate, engineers with sufficient work experience]
-
A.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
-
B.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
-
C.
targetOfficeSought
Indicates the specific public or organizational office or position that an individual is seeking or running for.
-
D.
mainCandidates
Indicates that the referenced entities are the primary or most prominent candidates within a given selection or context.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_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. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.