Triple
T24906715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Canadian federal election |
E623727
|
entity |
| Predicate | regionWithStrongBlocSupport |
P162847
|
FINISHED |
| Object | Quebec |
—
|
NE NERFINISHED |
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: Quebec | Statement: [1993 Canadian federal election, regionWithStrongBlocSupport, Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionWithStrongBlocSupport Context triple: [1993 Canadian federal election, regionWithStrongBlocSupport, Quebec]
-
A.
strongestSupportRegion
Indicates the region where an entity receives its highest level of support compared to all other regions.
-
B.
alsoInElectoralRegion
Indicates that an entity is located within, or belongs to, the same electoral region as another entity.
-
C.
politicalRegionRepresented
Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
-
D.
regionWithSignificantLiberalSupport
Indicates that a region exhibits notably strong or above-average political support for liberal parties, policies, or ideologies.
-
E.
votingRegion
Indicates the geographic or administrative area in which an entity is eligible or authorized to vote.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 18, 2026, 5:27 a.m.