Triple
T13960859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Mac |
E335786
|
entity |
| Predicate | supervisionStatus |
P112419
|
FINISHED |
| Object | federal oversight |
—
|
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: federal oversight | Statement: [Freddie Mac, supervisionStatus, federal oversight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supervisionStatus Context triple: [Freddie Mac, supervisionStatus, federal oversight]
-
A.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
-
B.
submissionStatus
Indicates the current state or phase of a submitted item within a review or processing workflow.
-
C.
sanctioningStatus
Indicates the current status of formal penalties, restrictions, or sanctions applied to an entity by an authority.
-
D.
governsStatus
Indicates that one entity has authoritative control or regulatory influence over the status or condition of another entity.
-
E.
departmentStatus
Indicates the current operational or organizational state assigned to a department.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:17 p.m.