Triple
T32808927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK parliamentary by-elections |
E839091
|
entity |
| Predicate | typicalTurnout |
P29796
|
FINISHED |
| Object | often lower than at general elections |
—
|
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: often lower than at general elections | Statement: [UK parliamentary by-elections, typicalTurnout, often lower than at general elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTurnout Context triple: [UK parliamentary by-elections, typicalTurnout, often lower than at general elections]
-
A.
turnout
chosen
Indicates the number or proportion of participants who attend or take part in an event or activity.
-
B.
turnoutType
Indicates the specific kind or category of turnout (e.g., how or in what form participation or attendance occurs) associated with an event or activity.
-
C.
turnoutVariesByYear
Indicates that the level of turnout changes depending on the specific year considered.
-
D.
typicalPartyMargin
Indicates the usual or characteristic difference in support or vote share between political parties in a given context.
-
E.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:15 a.m.