Triple
T23018676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Supplemental Educational Opportunity Grant Program |
E573103
|
entity |
| Predicate | awardDependsOn |
P69040
|
FINISHED |
| Object | student 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: student financial need | Statement: [Federal Supplemental Educational Opportunity Grant Program, awardDependsOn, student financial need]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardDependsOn Context triple: [Federal Supplemental Educational Opportunity Grant Program, awardDependsOn, student financial need]
-
A.
awardDeterminedBy
chosen
Indicates that the granting or outcome of an award is decided based on a specified factor, process, or decision-making entity.
-
B.
awardSystem
Indicates a relationship where an entity establishes or uses a structured scheme for granting awards, honors, or recognitions to others.
-
C.
awardAssociation
Indicates a relationship where an entity is connected to, or recognized by, a specific award or awarding body.
-
D.
awardIsPrecursorOf
Indicates that one award precedes and leads to another award in a sequence or progression.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e777cc81908c0b0bfd9d5a717c |
completed | April 29, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:52 p.m.