Triple
T9606854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Party members of Congress |
E231992
|
entity |
| Predicate | typicalPolicyPriority |
P49577
|
FINISHED |
| Object | expansion of social welfare programs |
—
|
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 social welfare programs | Statement: [Democratic Party members of Congress, typicalPolicyPriority, expansion of social welfare programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPolicyPriority Context triple: [Democratic Party members of Congress, typicalPolicyPriority, expansion of social welfare programs]
-
A.
typicalPolicyPreference
chosen
Indicates that one entity’s policy preference is characteristic or representative of what is usually favored by another entity or group.
-
B.
managementPriority
Indicates the relative level of importance or urgency assigned to managing or addressing a particular entity, issue, or task.
-
C.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
D.
typeOfPriority
Indicates the specific priority level or category assigned to something relative to other items or tasks.
-
E.
gradingPolicy
Indicates the rules or criteria that determine how performance or work is evaluated and assigned grades.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a62372881908bf21be91e7285fb |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.