Triple
T12122075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Parliament elections |
E288718
|
entity |
| Predicate | hasTurnoutTrend |
P5318
|
FINISHED |
| Object | generally lower than national parliamentary elections in many member states |
—
|
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: generally lower than national parliamentary elections in many member states | Statement: [European Parliament elections, hasTurnoutTrend, generally lower than national parliamentary elections in many member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTurnoutTrend Context triple: [European Parliament elections, hasTurnoutTrend, generally lower than national parliamentary elections in many member states]
-
A.
voterTurnoutChange
Indicates the amount or direction of change in voter turnout between two elections or time periods.
-
B.
turnout
Indicates the number or proportion of participants who attend or take part in an event or activity.
-
C.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
hasVoterRegistrationTendency
Indicates a tendency or likelihood for an entity to register (or be registered) as a voter.
-
E.
turnoutVariesByYear
Indicates that the level of turnout changes depending on the specific year considered.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.