Triple
T9810727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 United Kingdom general election |
E238262
|
entity |
| Predicate | brexitPartyPopularVoteShare |
P90137
|
FINISHED |
| Object | 2.0% |
—
|
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: 2.0% | Statement: [2019 United Kingdom general election, brexitPartyPopularVoteShare, 2.0%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brexitPartyPopularVoteShare Context triple: [2019 United Kingdom general election, brexitPartyPopularVoteShare, 2.0%]
-
A.
labourPopularVoteShare
Indicates the proportion of all valid votes cast that were received by the Labour Party in a given election or electoral contest.
-
B.
wonUKPopularVote
Indicates that a candidate or party received the highest number of votes in a United Kingdom popular vote or general election.
-
C.
LabourPopularVote
Indicates the proportion of total votes cast in an election that were received by the Labour Party.
-
D.
referendumResultLeavePercentage
Indicates the percentage of votes in a referendum that were cast in favor of the "leave" option.
-
E.
referendumYesPercentage
Indicates the percentage of votes cast in favor of the "yes" option in a referendum.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:30 p.m.