Triple
T14868216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich municipal elections |
E349672
|
entity |
| Predicate | votingEligibilityIncludes |
P59316
|
FINISHED |
| Object | Swiss citizens resident in Zurich |
—
|
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: Swiss citizens resident in Zurich | Statement: [Zurich municipal elections, votingEligibilityIncludes, Swiss citizens resident in Zurich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votingEligibilityIncludes Context triple: [Zurich municipal elections, votingEligibilityIncludes, Swiss citizens resident in Zurich]
-
A.
voterEligibilityCriterion
chosen
Indicates the rule or condition that determines whether an individual is allowed to vote in a given context.
-
B.
hasElectoralRight
Indicates that an entity possesses the legal right to participate in elections, typically by voting or standing as a candidate.
-
C.
eligibleVoters
Indicates that the referenced entities are legally permitted and qualified to vote in a given election or jurisdiction.
-
D.
votingAge
Indicates the minimum age at which an individual is legally permitted to vote.
-
E.
hasFederalElectorate
Indicates that an entity is associated with a specific federal electoral district that represents it in a national legislative body.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.