Triple
T38073062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1892 United Kingdom general election |
E950636
|
entity |
| Predicate | LiberalUnionistSeatsWon |
P190566
|
FINISHED |
| Object | 47 |
—
|
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: 47 | Statement: [1892 United Kingdom general election, LiberalUnionistSeatsWon, 47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LiberalUnionistSeatsWon Context triple: [1892 United Kingdom general election, LiberalUnionistSeatsWon, 47]
-
A.
UnionistSeatsWon
Indicates the number of legislative or electoral seats that were won by unionist-affiliated parties or candidates.
-
B.
LiberalSeatsWon
Indicates the number of parliamentary or legislative seats won by the Liberal party in an election.
-
C.
UnionistPopularVoteShare
Indicates the proportion of the total popular vote that was received by unionist parties or candidates in a given election or political context.
-
D.
liberalPartyVoteShare
Indicates the proportion of total votes that were cast for the Liberal Party in a given election or electoral context.
-
E.
LiberalDemocratSeatsAfterElection
Indicates the number of parliamentary or legislative seats held by the Liberal Democrats following a specific election.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 3, 2026, 4:21 p.m.