Triple
T11956431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ETAC |
E284564
|
entity |
| Predicate | usesAccreditationCriteria |
P59270
|
FINISHED |
| Object | program educational objectives |
—
|
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: program educational objectives | Statement: [ETAC, usesAccreditationCriteria, program educational objectives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAccreditationCriteria Context triple: [ETAC, usesAccreditationCriteria, program educational objectives]
-
A.
usesAccreditationStandard
chosen
Indicates that one entity applies, follows, or bases its processes or evaluations on a specified accreditation standard.
-
B.
usesAccreditationCycle
Indicates that one entity applies or follows a particular accreditation cycle associated with another entity.
-
C.
isAccredited
Indicates that an entity has been officially recognized or certified as meeting established standards by an authorized accrediting body.
-
D.
scopeOfAccreditation
Indicates the specific range, domains, or activities for which an entity’s accreditation or formal recognition is valid and applicable.
-
E.
hasAccreditationType
Indicates that an entity holds or is associated with a specific category or kind of accreditation.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.