Triple
T865669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1945 United Kingdom general election |
E18695
|
entity |
| Predicate | LabourSeatsWon |
P20302
|
FINISHED |
| Object | 393 |
—
|
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: 393 | Statement: [1945 United Kingdom general election, LabourSeatsWon, 393]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LabourSeatsWon Context triple: [1945 United Kingdom general election, LabourSeatsWon, 393]
-
A.
seatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity secured in the 2019 parliamentary election.
-
B.
numberOfSeatsWonIn2019ParliamentaryElection
Indicates the number of seats an entity won in the 2019 parliamentary election.
-
C.
wonParliamentaryElection
Indicates that one party or candidate achieved victory in a parliamentary election over others.
-
D.
legislativeAssemblySeats
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
E.
numberOfSeatsContested
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
- F. None of above. chosen
Provenance (4 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7cb1888190a46c16b30256451b |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.