Triple
T17924343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Horton |
E448152
|
entity |
| Predicate | foundedBusinessIn |
P129737
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Tim Horton, foundedBusinessIn, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedBusinessIn Context triple: [Tim Horton, foundedBusinessIn, 1964]
-
A.
foundedBusinessInLocation
Indicates that an entity established or created a business in a specified geographic location.
-
B.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
C.
notableCompanyFoundedIn
Indicates that a company is recognized as notable and was founded in the specified location or time period.
-
D.
foundedCompanyInCountry
Indicates that an entity established or created a company whose founding took place within a specified country.
-
E.
foundedCompanyInCity
Indicates that an entity established or created a company whose founding took place in a specified city.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54cf8188190b9bd676443418c23 |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:20 a.m.