Triple
T475219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principles and Practice of Engineering exam |
E9045
|
entity |
| Predicate | testCenterType |
P11544
|
FINISHED |
| Object | authorized testing centers |
—
|
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: authorized testing centers | Statement: [Principles and Practice of Engineering exam, testCenterType, authorized testing centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testCenterType Context triple: [Principles and Practice of Engineering exam, testCenterType, authorized testing centers]
-
A.
centerType
chosen
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
B.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
C.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
-
D.
hasPopulationCenterType
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
-
E.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
- 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.