Triple
T6342873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington South |
E142672
|
entity |
| Predicate | electionContests |
P70084
|
FINISHED |
| Object | United Kingdom general elections |
—
|
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: United Kingdom general elections | Statement: [Kensington South, electionContests, United Kingdom general elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionContests Context triple: [Kensington South, electionContests, United Kingdom general elections]
-
A.
electoralCompetition
Indicates the degree to which multiple political candidates or parties actively contend against each other in an election for votes or office.
-
B.
electionForOffice
Indicates that an election event is held to select or fill a specific office or position.
-
C.
electionParticipatedIn
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
-
D.
electoralCompetitionWith
Indicates a relationship where two or more political actors or parties actively compete against each other in an electoral process for votes or office.
-
E.
federalLevelElection
Indicates that the election takes place at the federal (national) level of government rather than at a state, regional, or local level.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06745b3d88190bcabc2bf5d75555d |
completed | March 22, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:30 p.m.