Triple
T13858071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HomeReady mortgage program |
E333114
|
entity |
| Predicate | homeownershipEducationProvider |
P335
|
FINISHED |
| Object | Fannie Mae-approved providers |
—
|
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: Fannie Mae-approved providers | Statement: [HomeReady mortgage program, homeownershipEducationProvider, Fannie Mae-approved providers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeownershipEducationProvider Context triple: [HomeReady mortgage program, homeownershipEducationProvider, Fannie Mae-approved providers]
-
A.
homeCourseType
Indicates the type or category of a course designated as the primary or home course for an entity.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
homeSchool
Indicates that an educational program is conducted primarily in a home setting rather than at a traditional school.
-
D.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
E.
educates
chosen
Indicates that one entity provides instruction, knowledge, or training to another entity.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.