Triple
T454127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FHA 203(b) basic home mortgage program |
E7194
|
entity |
| Predicate | targetBorrower |
P860
|
FINISHED |
| Object | first-time homebuyers |
—
|
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: first-time homebuyers | Statement: [FHA 203(b) basic home mortgage program, targetBorrower, first-time homebuyers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetBorrower Context triple: [FHA 203(b) basic home mortgage program, targetBorrower, first-time homebuyers]
-
A.
eligibleBorrower
Indicates that an entity meets the required conditions to be allowed to borrow (e.g., money, items, or resources) under a given set of rules or policies.
-
B.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
buyer
Indicates a relationship where one entity purchases or acquires goods, services, or rights from another entity in exchange for payment or compensation.
-
D.
targetOfficeSought
Indicates the specific public or organizational office or position that an individual is seeking or running for.
-
E.
holder
Indicates that one entity possesses, controls, or has custody of another entity, typically in a temporary or contextual sense.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef87cc7c8190a0fec933457821e2 |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.