Triple
T24931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle States Commission on Higher Education |
E497
|
entity |
| Predicate | accredits |
P117
|
FINISHED |
| Object | colleges |
—
|
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: colleges | Statement: [Middle States Commission on Higher Education, accredits, colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accredits Context triple: [Middle States Commission on Higher Education, accredits, colleges]
-
A.
accreditation
chosen
Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
-
B.
approves
Indicates that one entity formally accepts, authorizes, or agrees to a proposal, action, or decision made by another entity.
-
C.
awardEstablished
Indicates that an award was formally created or instituted at a specific point in time.
-
D.
establishes
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
-
E.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246d794448190bb2844fcd0538eaa |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24657635881908f3415bc1bdfa1b5 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.