Triple
T6423285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Populist movement |
E127995
|
entity |
| Predicate | positionOnPoliticalReform |
P16872
|
FINISHED |
| Object | direct election of U.S. senators |
—
|
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: direct election of U.S. senators | Statement: [Populist movement, positionOnPoliticalReform, direct election of U.S. senators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnPoliticalReform Context triple: [Populist movement, positionOnPoliticalReform, direct election of U.S. senators]
-
A.
positionOnReform
chosen
Indicates a stance or viewpoint that an entity holds regarding a particular reform or set of reforms.
-
B.
politicalPositionOnElectoralPolitics
Indicates a stance or viewpoint an entity holds regarding participation in, support for, or opposition to electoral political processes and institutions.
-
C.
constitutionalReformSubject
Indicates that an entity is the subject or focus of a constitutional reform process, proposal, or change.
-
D.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
E.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690576c48190b5db5464eacc9de3 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.