Triple
T16046825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian legislative election, 2016 |
E389242
|
entity |
| Predicate | reshapedPoliticalLandscape |
P5023
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Romanian legislative election, 2016, reshapedPoliticalLandscape, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reshapedPoliticalLandscape Context triple: [Romanian legislative election, 2016, reshapedPoliticalLandscape, yes]
-
A.
politicalShift
Indicates a change in an entity’s political position, alignment, or governing structure over time.
-
B.
electoralRise
Indicates a change in a political actor’s electoral support or success, typically reflecting an increase in votes, seats, or popularity over time.
-
C.
currentPoliticalTrend
Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
-
D.
mainPoliticalDevelopment
chosen
Indicates the primary or most significant political change, event, or evolution affecting an entity within a given period or context.
-
E.
politicalPattern
Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.