Triple
T27708637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 111-5 |
E698617
|
entity |
| Predicate | partOfPolicyAgenda |
P26131
|
FINISHED |
| Object | Obama administration economic policy |
—
|
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: Obama administration economic policy | Statement: [Public Law 111-5, partOfPolicyAgenda, Obama administration economic policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPolicyAgenda Context triple: [Public Law 111-5, partOfPolicyAgenda, Obama administration economic policy]
-
A.
supportsPolicyAgendaOf
Indicates that one entity actively endorses, promotes, or works to advance the policy agenda set by another entity.
-
B.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
-
C.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
D.
isPartOfPolicyArea
chosen
Indicates that one policy, topic, or issue belongs to, falls under, or is categorized within a broader policy area or domain.
-
E.
policyPillar
Indicates that something (such as a program, measure, or objective) belongs to, supports, or is categorized under a particular policy pillar within a broader policy framework.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 27, 2026, 3:01 p.m.