Triple
T12007405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 United Kingdom general election |
E285816
|
entity |
| Predicate | popularVotePercentageOfLabour |
P40995
|
FINISHED |
| Object | 40.7 |
—
|
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: 40.7 | Statement: [2001 United Kingdom general election, popularVotePercentageOfLabour, 40.7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularVotePercentageOfLabour Context triple: [2001 United Kingdom general election, popularVotePercentageOfLabour, 40.7]
-
A.
numberOfVotesLabour
Indicates the total count of votes that were cast for the Labour party in a given election or voting context.
-
B.
labourPopularVoteShare
chosen
Indicates the proportion of all valid votes cast that were received by the Labour Party in a given election or electoral contest.
-
C.
rulingPartyPopularVotePercentage
Indicates the percentage of the total popular vote received by the party currently in power or holding the ruling position.
-
D.
LabourPopularVote
Indicates the proportion of total votes cast in an election that were received by the Labour Party.
-
E.
LiberalPopularVote
Indicates that the Liberal party received a high or majority share of the popular vote 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.