Triple
T15168548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Midlands mayoral election, 2021 |
E362423
|
entity |
| Predicate | firstRoundVoteShareMainOpponent |
P68283
|
FINISHED |
| Object | approximately 40.0% |
—
|
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: approximately 40.0% | Statement: [West Midlands mayoral election, 2021, firstRoundVoteShareMainOpponent, approximately 40.0%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRoundVoteShareMainOpponent Context triple: [West Midlands mayoral election, 2021, firstRoundVoteShareMainOpponent, approximately 40.0%]
-
A.
voteShareMainOpponent
chosen
Indicates the proportion of total votes received by the primary opposing candidate or party in an election.
-
B.
secondRoundVoteShareOf
Indicates the proportion of total votes an entity receives in the second round of a multi-round voting or election process.
-
C.
popularVoteCountOpponent
Indicates the number of votes received by the opposing candidate or party in a popular vote contest.
-
D.
firstRoundLeadingCandidate
Indicates that the subject is the candidate who is leading in vote count after the first round of an election or selection process.
-
E.
popularVoteOpponent
Indicates that one entity is the opponent of another in a popular vote or general election contest.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.