Triple
T1201664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Pell Grant Program |
E25794
|
entity |
| Predicate | aidType |
P25522
|
FINISHED |
| Object | gift 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: gift aid | Statement: [Federal Pell Grant Program, aidType, gift aid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aidType Context triple: [Federal Pell Grant Program, aidType, gift aid]
-
A.
issuerType
Indicates the classification or category of the entity that issues something (such as a document, credential, or instrument).
-
B.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
-
C.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
D.
typeOfDocumentIssued
Indicates the specific kind or category of document that has been formally issued in a given context.
-
E.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9fece4819089a6a2d61e61fa2e |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bcc82e38819081c3615e1cc7a66f |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:46 p.m.