Triple
T32759088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section 236 rental housing assistance program |
E837705
|
entity |
| Predicate | benefitsToOwners |
P179268
|
FINISHED |
| Object | reduced effective mortgage interest rate |
—
|
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: reduced effective mortgage interest rate | Statement: [Section 236 rental housing assistance program, benefitsToOwners, reduced effective mortgage interest rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitsToOwners Context triple: [Section 236 rental housing assistance program, benefitsToOwners, reduced effective mortgage interest rate]
-
A.
benefitsToTenants
Indicates that something provides an advantage, improvement, or positive outcome specifically for tenants.
-
B.
benefitsAre
Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
-
C.
benefits
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
-
D.
benefitsOperator
Indicates that one entity provides an advantage, profit, or positive outcome to an operator entity.
-
E.
benefitsCategory
Indicates that one entity provides, falls under, or is associated with a particular category of benefits for another 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 1:13 a.m.