Triple
T11512823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian general elections |
E272955
|
entity |
| Predicate | turnoutMeasuredAs |
P1234
|
FINISHED |
| Object | percentage of registered voters |
—
|
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: percentage of registered voters | Statement: [Italian general elections, turnoutMeasuredAs, percentage of registered voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnoutMeasuredAs Context triple: [Italian general elections, turnoutMeasuredAs, percentage of registered voters]
-
A.
turnout
Indicates the number or proportion of participants who attend or take part in an event or activity.
-
B.
turnoutVariesByYear
Indicates that the level of turnout changes depending on the specific year considered.
-
C.
voterTurnoutPercentage
chosen
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
D.
turnsIn
Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
-
E.
statisticMeasured
Indicates that a particular statistic or quantitative measure is obtained from, or used to evaluate, a given entity or phenomenon.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.