Triple
T4164656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cork South-Central |
E84415
|
entity |
| Predicate | voteCountingMethod |
P2726
|
FINISHED |
| Object | single transferable vote count |
—
|
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: single transferable vote count | Statement: [Cork South-Central, voteCountingMethod, single transferable vote count]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteCountingMethod Context triple: [Cork South-Central, voteCountingMethod, single transferable vote count]
-
A.
votingMethod
chosen
Indicates the procedure or system by which a vote is cast, collected, and counted in a decision-making or electoral process.
-
B.
electionMethod
Indicates the process or system used to select a candidate or make a decision in an election.
-
C.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
D.
voteCountedIn
Indicates that a particular vote has been included in the official tally for a specific election, contest, or jurisdiction.
-
E.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.