Triple
T1331117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidwell Friends School |
E28644
|
entity |
| Predicate | hasFinancialAid |
P27300
|
FINISHED |
| Object | need-based financial aid |
—
|
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: need-based financial aid | Statement: [Sidwell Friends School, hasFinancialAid, need-based financial aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinancialAid Context triple: [Sidwell Friends School, hasFinancialAid, need-based financial aid]
-
A.
hasScholarships
Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
-
B.
hasCommonFinancialAidPolicy
Indicates that two or more entities share the same rules, criteria, or framework governing financial aid policies.
-
C.
hasBursaries
Indicates that an entity provides or is associated with bursaries (financial aid or scholarships).
-
D.
financialAidPolicy
Indicates the rules or guidelines governing how financial assistance is determined, awarded, and managed.
-
E.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.