Triple
T6858132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steeles |
E158201
|
entity |
| Predicate | municipalGovernmentWard |
P14475
|
FINISHED |
| Object | a ward of Scarborough in Toronto |
—
|
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: a ward of Scarborough in Toronto | Statement: [Steeles, municipalGovernmentWard, a ward of Scarborough in Toronto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalGovernmentWard Context triple: [Steeles, municipalGovernmentWard, a ward of Scarborough in Toronto]
-
A.
electoralWardFor
Indicates that one entity serves as the electoral ward or voting district in which another entity (such as a place or address) is located or represented.
-
B.
containsWard
chosen
Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
-
C.
districtCouncil
Indicates that an entity serves as, or is governed by, a district-level council within a larger administrative or political structure.
-
D.
hasNeighbouringWard
Indicates that one ward is directly adjacent to or borders another ward geographically.
-
E.
numberOfWards
Indicates the quantitative relationship specifying how many wards are associated with a given 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.