Triple
T25594095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University—Rosedale |
E641599
|
entity |
| Predicate | hasMajorCityArea |
P180587
|
FINISHED |
| Object | downtown Toronto core |
—
|
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: downtown Toronto core | Statement: [University—Rosedale, hasMajorCityArea, downtown Toronto core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCityArea Context triple: [University—Rosedale, hasMajorCityArea, downtown Toronto core]
-
A.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
B.
hasMajorCityFunction
Indicates that an entity serves an important urban role or function typically associated with a major city (such as being a commercial, administrative, or cultural center).
-
C.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
D.
hasMajorCityOfUse
Indicates that a particular city is the primary or most significant location where something (e.g., a product, language, service) is predominantly used or applied.
-
E.
capitalCityAreaOf
Indicates that one entity is the geographic area covered by the capital city of another entity.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 21, 2026, 4:26 p.m.