Triple
T12325122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLEP exams |
E293808
|
entity |
| Predicate | creditAwardedBy |
P50136
|
FINISHED |
| Object | participating higher education institutions |
—
|
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: participating higher education institutions | Statement: [CLEP exams, creditAwardedBy, participating higher education institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditAwardedBy Context triple: [CLEP exams, creditAwardedBy, participating higher education institutions]
-
A.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
-
B.
credentialAwarded
Indicates that a particular credential has been granted or conferred to an entity as a result of meeting specified requirements.
-
C.
creditsCanBe
Indicates that certain credits are permitted to be in a specified state, category, or usage condition.
-
D.
grantsCreditFor
chosen
Indicates that one entity recognizes or awards academic or other formal credit to another entity for a specific activity, course, or achievement.
-
E.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.