Triple
T26054898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEED |
E648089
|
entity |
| Predicate | typeOfTest |
P5435
|
FINISHED |
| Object | qualifying examination |
—
|
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: qualifying examination | Statement: [CEED, typeOfTest, qualifying examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTest Context triple: [CEED, typeOfTest, qualifying examination]
-
A.
testType
chosen
Indicates the specific category or kind of test associated with an entity or event.
-
B.
theoryTested
Indicates that a theory has been subjected to evaluation or experimentation to assess its validity or accuracy.
-
C.
testCase
Indicates a relationship where a specific scenario, input set, or condition is used to verify, validate, or evaluate the behavior or correctness of a system, component, or function.
-
D.
test
Indicates that an entity performs, undergoes, or is associated with a testing or examination process involving another entity or condition.
-
E.
testingMethod
Indicates the procedure, technique, or approach used to perform a particular test or evaluation.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 22, 2026, 9:11 a.m.