Triple
T3850810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom general election, 1970 |
E85289
|
entity |
| Predicate | labourSeatChange |
P20305
|
FINISHED |
| Object | -75 |
—
|
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: -75 | Statement: [United Kingdom general election, 1970, labourSeatChange, -75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labourSeatChange Context triple: [United Kingdom general election, 1970, labourSeatChange, -75]
-
A.
LabourSeatChange
chosen
Indicates a change in the number of parliamentary seats held by the Labour Party between two electoral outcomes.
-
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.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in an election.
-
E.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcf67788190975105131baabc4b |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.