Triple
T11620268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Board of Accreditation |
E275617
|
entity |
| Predicate | WashingtonAccordStatus |
P100628
|
FINISHED |
| Object | permanent signatory |
—
|
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: permanent signatory | Statement: [National Board of Accreditation, WashingtonAccordStatus, permanent signatory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WashingtonAccordStatus Context triple: [National Board of Accreditation, WashingtonAccordStatus, permanent signatory]
-
A.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
B.
applicantStates
Indicates that an applicant explicitly declares or asserts a particular fact, condition, or piece of information.
-
C.
collegeStatus
Indicates the current relationship or standing an individual has with a college, such as enrolled, graduated, or withdrawn.
-
D.
mayAlsoBeAccreditedTo
Indicates that the credit or attribution for something can additionally be assigned to another entity beyond the primary one.
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.