Triple
T37524790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Patriotic Party |
E932879
|
entity |
| Predicate | notablePolicyFocus |
P83753
|
FINISHED |
| Object | macroeconomic stability |
—
|
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: macroeconomic stability | Statement: [New Patriotic Party, notablePolicyFocus, macroeconomic stability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePolicyFocus Context triple: [New Patriotic Party, notablePolicyFocus, macroeconomic stability]
-
A.
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.
-
B.
emphasizesPolicyArea
chosen
Indicates that one entity gives particular importance or priority to a specific policy area in its actions, statements, or focus.
-
C.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
-
D.
notableInitiative
Indicates that an entity is especially recognized for leading, launching, or being closely associated with a significant project, program, or initiative.
-
E.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.