Triple
T13683645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Mitchell-Lama Housing Program |
E328062
|
entity |
| Predicate | typeOfSubsidy |
P111158
|
FINISHED |
| Object | mortgage subsidy |
—
|
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: mortgage subsidy | Statement: [New York State Mitchell-Lama Housing Program, typeOfSubsidy, mortgage subsidy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSubsidy Context triple: [New York State Mitchell-Lama Housing Program, typeOfSubsidy, mortgage subsidy]
-
A.
subsidyAttachment
Indicates that a subsidy is linked or applied to a particular entity, object, or transaction.
-
B.
typeOfIncentive
Indicates the specific kind or category of incentive associated with an entity or action.
-
C.
natureOfGrant
Indicates the specific type or character of a grant that defines what kind of granting relationship exists between the parties.
-
D.
subsidizedInterest
Indicates that the interest on a loan or financial obligation is partially or fully paid or reduced by a third party, typically a government or institution, rather than borne entirely by the borrower.
-
E.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66e75188190a9e82fdc5eb26513 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:53 p.m.