Triple
T2601127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FHA 203(k) rehabilitation mortgage insurance program |
E58344
|
entity |
| Predicate | supportsPolicyGoal |
P39536
|
FINISHED |
| Object | expansion of homeownership |
—
|
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: expansion of homeownership | Statement: [FHA 203(k) rehabilitation mortgage insurance program, supportsPolicyGoal, expansion of homeownership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPolicyGoal Context triple: [FHA 203(k) rehabilitation mortgage insurance program, supportsPolicyGoal, expansion of homeownership]
-
A.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
B.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
C.
supportsPolicyArea
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
D.
supportsPrinciple
Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
-
E.
supportsPolicyDevelopmentProcess
Indicates that an entity contributes to, facilitates, or enables the creation, refinement, and implementation of policies within a defined development process.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4587014819089f78e93adf2144c |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1c7b6e48190be9a0c31069df797 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:49 p.m.