Triple
T7100464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario federal electoral districts |
E165442
|
entity |
| Predicate | previousNumberOfDistricts |
P1679
|
FINISHED |
| Object | 106 (before 2015 election) |
—
|
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: 106 (before 2015 election) | Statement: [Ontario federal electoral districts, previousNumberOfDistricts, 106 (before 2015 election)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNumberOfDistricts Context triple: [Ontario federal electoral districts, previousNumberOfDistricts, 106 (before 2015 election)]
-
A.
numberOfDistricts
chosen
Indicates the total count of districts associated with a given entity or area.
-
B.
previousDistrictNumberEliminated
Indicates that an entity’s former district number has been removed or is no longer in use.
-
C.
previousNumberOfConstituents
Indicates the number of constituents an entity had at an earlier point in time, before its current state.
-
D.
numberOfDistrictsPeak
Indicates the maximum number of districts that an entity reaches or has at its highest point over a given period or context.
-
E.
formerDistrict
Indicates that one entity previously served as a district of another entity but no longer holds that status.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e586b7208190bab9429ded35ba4f |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.