Triple
T37882622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018–2022 Toronto City Council |
E944906
|
entity |
| Predicate | reducedCouncilSizeTo |
P102026
|
FINISHED |
| Object | 25 wards |
—
|
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: 25 wards | Statement: [2018–2022 Toronto City Council, reducedCouncilSizeTo, 25 wards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedCouncilSizeTo Context triple: [2018–2022 Toronto City Council, reducedCouncilSizeTo, 25 wards]
-
A.
reducedNumberOfMPsFrom
Indicates that an entity has experienced a decrease in its number of MPs (members of parliament) originating from the referenced source entity.
-
B.
reducedNumberOf
chosen
Indicates that the subject has a smaller quantity or count of the specified object or attribute compared to a prior state or reference level.
-
C.
reducedCapacity
Indicates that an entity is functioning with less than its normal or full capacity, ability, or effectiveness.
-
D.
reducedNumberOfVoivodeshipsTo
Indicates that an entity has decreased the total count of voivodeships (administrative regions) to a specified number.
-
E.
increasedNumberOfCouncilMembersTo
Indicates that an action or decision resulted in raising the total number of council members to a specified value.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.