Triple
T26069097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colborne Lodge, High Park, Toronto |
E657489
|
entity |
| Predicate | donatedToCityBy |
P159913
|
FINISHED |
| Object | John George Howard |
—
|
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: John George Howard | Statement: [Colborne Lodge, High Park, Toronto, donatedToCityBy, John George Howard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donatedToCityBy Context triple: [Colborne Lodge, High Park, Toronto, donatedToCityBy, John George Howard]
-
A.
donatedToState
Indicates that an entity has given or transferred something, such as money, goods, or assets, as a donation to a state or state-level governmental body.
-
B.
cityOfPhilanthropy
Indicates that a city is notably associated with significant philanthropic activity, culture, or institutions.
-
C.
associatedWithCityFoundation
Indicates a relationship where an entity is connected to, involved in, or relevant to the founding or establishment of a particular city.
-
D.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
E.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606c91710819081f3e0187820f1e8 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 7:27 p.m.