Triple
T38696309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula Franklin Chair in the Humanities at the University of Toronto |
E950007
|
entity |
| Predicate | provinceOfInstitution |
P81166
|
FINISHED |
| Object | Ontario |
—
|
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: Ontario | Statement: [Ursula Franklin Chair in the Humanities at the University of Toronto, provinceOfInstitution, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceOfInstitution Context triple: [Ursula Franklin Chair in the Humanities at the University of Toronto, provinceOfInstitution, Ontario]
-
A.
locatedInInstitutionProvince
chosen
Indicates that an institution is situated within a specific province.
-
B.
regionOfInstitution
Indicates that a specified region is the geographic area in which an institution is located or operates.
-
C.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
D.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
E.
countryOfInstitution
Indicates the country in which an institution is located or officially based.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:33 p.m.