Triple
T7143840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WIN button |
E166514
|
entity |
| Predicate | governmentProgramRelation |
P44188
|
FINISHED |
| Object | part of non-mandatory anti-inflation 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: part of non-mandatory anti-inflation program | Statement: [WIN button, governmentProgramRelation, part of non-mandatory anti-inflation program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentProgramRelation Context triple: [WIN button, governmentProgramRelation, part of non-mandatory anti-inflation program]
-
A.
relatedPoliticalProgram
Indicates that one political program is associated with, connected to, or contextually linked with another political program.
-
B.
relatesToProgram
chosen
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
-
C.
nationalProgram
Indicates that an entity is part of, associated with, or designated as a program organized or administered at the national level.
-
D.
relationshipToOtherPrograms
Indicates how a program is connected or related to other programs, such as through dependencies, interactions, or organizational links.
-
E.
governmentSponsor
Indicates that a government entity provides funding, support, or backing for another entity, project, or activity.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d027d0819088598b2a9f71b1b7 |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.