Triple
T29904415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | magic formula (Swiss party power-sharing) |
E759495
|
entity |
| Predicate | decisionMakingEffect |
P14171
|
FINISHED |
| Object | encourages compromise among parties |
—
|
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: encourages compromise among parties | Statement: [magic formula (Swiss party power-sharing), decisionMakingEffect, encourages compromise among parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionMakingEffect Context triple: [magic formula (Swiss party power-sharing), decisionMakingEffect, encourages compromise among parties]
-
A.
decisionEffect
chosen
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
B.
decisionMaking
Indicates the process by which an entity evaluates options and selects a course of action among alternatives.
-
C.
decisionMakingRole
Indicates that an entity holds responsibility or authority in making decisions for or on behalf of another entity or group.
-
D.
decisionMakingModel
Indicates a relationship where an entity uses or is associated with a specific model or framework for making decisions.
-
E.
decisionOutput
Indicates that a decision-making process produces or yields a particular outcome or result.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 6:07 p.m.