Triple
T19206138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1955 United Kingdom general election |
E480237
|
entity |
| Predicate | seatChangeConservativeParty |
P20306
|
FINISHED |
| Object | +23 |
—
|
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: +23 | Statement: [1955 United Kingdom general election, seatChangeConservativeParty, +23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatChangeConservativeParty Context triple: [1955 United Kingdom general election, seatChangeConservativeParty, +23]
-
A.
ConservativeSeatChange
chosen
Indicates the change in the number of seats held by the Conservative party between two electoral periods.
-
B.
netSeatChangeForRepublicanParty
Indicates the overall gain or loss in the number of seats held by the Republican Party after an election or series of elections.
-
C.
winningPartySeatChange
Indicates the change in the number of seats held by the winning party compared to a previous election or reference point.
-
D.
LiberalSeatChange
Indicates a change in the number of seats held by the Liberal party between two points in time.
-
E.
LabourSeatChange
Indicates a change in the number of parliamentary seats held by the Labour Party between two electoral outcomes.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99d8ad0819098ebd4ee007149f1 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:19 p.m.