Triple
T24734187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmer Mac |
E618366
|
entity |
| Predicate | loanTypeServed |
P9377
|
FINISHED |
| Object | rural housing mortgage loans |
—
|
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: rural housing mortgage loans | Statement: [Farmer Mac, loanTypeServed, rural housing mortgage loans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanTypeServed Context triple: [Farmer Mac, loanTypeServed, rural housing mortgage loans]
-
A.
loanType
chosen
Indicates the specific category or kind of loan associated with an entity or transaction.
-
B.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
C.
loanSource
Indicates that one entity is the origin or provider of a loan extended to another entity.
-
D.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
-
E.
hasTypeOfCredit
Indicates that an entity is associated with or characterized by a specific type or category of credit.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:03 a.m.