Triple
T1224186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Work-Study Program |
E26288
|
entity |
| Predicate | disbursedBy |
P9378
|
FINISHED |
| Object | participating colleges and universities |
—
|
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: participating colleges and universities | Statement: [Federal Work-Study Program, disbursedBy, participating colleges and universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disbursedBy Context triple: [Federal Work-Study Program, disbursedBy, participating colleges and universities]
-
A.
disbursementOption
chosen
Indicates the method or arrangement by which funds are paid out or distributed.
-
B.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
C.
issuedBy
Indicates that something (such as a document, order, or statement) has been formally created, authorized, or released by a particular agent or authority.
-
D.
hasBank
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
-
E.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.