Triple
T48363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Owners' Loan Corporation |
E949
|
entity |
| Predicate | hasProgramType |
P2192
|
FINISHED |
| Object | mortgage relief program |
—
|
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 relief program | Statement: [Home Owners' Loan Corporation, hasProgramType, mortgage relief program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramType Context triple: [Home Owners' Loan Corporation, hasProgramType, mortgage relief program]
-
A.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
B.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
C.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
D.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abe7cb481908d969e54032f6c75 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.