Triple
T4259088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berea College |
E96056
|
entity |
| Predicate | financialAidModel |
P12170
|
FINISHED |
| Object | meets full demonstrated financial need |
—
|
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: meets full demonstrated financial need | Statement: [Berea College, financialAidModel, meets full demonstrated financial need]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialAidModel Context triple: [Berea College, financialAidModel, meets full demonstrated financial need]
-
A.
hasFinancialAid
Indicates that one entity provides or is associated with financial assistance or support to another entity.
-
B.
financialAidPolicy
chosen
Indicates the rules or guidelines governing how financial assistance is determined, awarded, and managed.
-
C.
hasCommonFinancialAidPolicy
Indicates that two or more entities share the same rules, criteria, or framework governing financial aid policies.
-
D.
hasScholarships
Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
-
E.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.