Triple
T12007413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 United Kingdom general election |
E285816
|
entity |
| Predicate | seatChangeForLiberalDemocrats |
P84104
|
FINISHED |
| Object | +6 |
—
|
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: +6 | Statement: [2001 United Kingdom general election, seatChangeForLiberalDemocrats, +6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatChangeForLiberalDemocrats Context triple: [2001 United Kingdom general election, seatChangeForLiberalDemocrats, +6]
-
A.
liberalDemocratNetSeatChange
chosen
Indicates the change in the number of parliamentary or legislative seats held by the Liberal Democrats between two specified elections or time points.
-
B.
LiberalSeatChange
Indicates a change in the number of seats held by the Liberal party between two points in time.
-
C.
ConservativeSeatChange
Indicates the change in the number of seats held by the Conservative party between two electoral periods.
-
D.
LabourSeatChange
Indicates a change in the number of parliamentary seats held by the Labour Party between two electoral outcomes.
-
E.
LiberalDemocratVoteShare
Indicates the proportion of total votes received by the Liberal Democrat party in a given election or electoral unit.
- 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.