Triple
T35155788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikato electorate |
E1015115
|
entity |
| Predicate | electorateVoteUsedFor |
P199470
|
FINISHED |
| Object | choosing local MP |
—
|
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: choosing local MP | Statement: [Waikato electorate, electorateVoteUsedFor, choosing local MP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electorateVoteUsedFor Context triple: [Waikato electorate, electorateVoteUsedFor, choosing local MP]
-
A.
ballotUnitUsed
Indicates that a particular ballot unit was utilized in the conduct of an election or voting process.
-
B.
usedInElection
Indicates that something (such as a resource, tool, or method) was employed or applied as part of conducting an election.
-
C.
voteCountedIn
Indicates that a particular vote has been included in the official tally for a specific election, contest, or jurisdiction.
-
D.
ballotLineUsedInElection
Indicates that a particular ballot line was utilized in a specific election.
-
E.
usesVotingBallots
Indicates that one entity conducts or participates in a voting process by employing ballots as the method for casting votes.
- F. None of above. chosen
Provenance (4 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
| PDg | Predicate description generation | batch_69ff3b323a748190827165f1cb274141 |
completed | May 9, 2026, 1:48 p.m. |
Created at: May 3, 2026, 4:02 p.m.