Triple
T8050851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Independence Party |
E187667
|
entity |
| Predicate | membershipTrendAfter2016 |
P32718
|
FINISHED |
| Object | declining |
—
|
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: declining | Statement: [UK Independence Party, membershipTrendAfter2016, declining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipTrendAfter2016 Context triple: [UK Independence Party, membershipTrendAfter2016, declining]
-
A.
membershipTrend
chosen
Indicates how the size or composition of a group’s membership changes over time (e.g., growing, shrinking, or remaining stable).
-
B.
membershipPeakYear
Indicates the year in which an entity’s membership count reached its highest level.
-
C.
membershipEra
Indicates the time period or era during which an entity holds or held membership in a group or organization.
-
D.
previousNumberOfMembers
Indicates the number of members an entity had at an earlier or prior point in time.
-
E.
totalMembershipApprox
Indicates an approximate total count of members associated with an entity.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f799d1481909c91039941af0e34 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.