Triple
T27488051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 South African general election |
E693797
|
entity |
| Predicate | secondPartyVoteShare |
P73163
|
FINISHED |
| Object | approximately 12.4% |
—
|
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 12.4% | Statement: [2004 South African general election, secondPartyVoteShare, approximately 12.4%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPartyVoteShare Context triple: [2004 South African general election, secondPartyVoteShare, approximately 12.4%]
-
A.
secondPartyPopularVoteShare
chosen
Indicates the proportion of total popular votes received by the second 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.
leader2VoteShare
Indicates the proportion of total votes received by the second-ranked leader or leading candidate in an election or poll.
-
D.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
E.
secondLargestPartySeatsWon
Indicates the number of seats won by the political party that finished second in size or vote share in an election.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 1:03 p.m.