Triple
T26134201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo Breweries |
E659331
|
entity |
| Predicate | acquiredCompanyCountry |
P159979
|
FINISHED |
| Object | Canada |
—
|
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: Canada | Statement: [Sapporo Breweries, acquiredCompanyCountry, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredCompanyCountry Context triple: [Sapporo Breweries, acquiredCompanyCountry, Canada]
-
A.
acquisitionCountry
Indicates the country in which the acquisition of an entity or asset took place.
-
B.
countryOfUnderlyingCompany
Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
-
C.
countryOfCompanyInvestigated
Indicates the country in which the investigated company is legally registered or primarily based.
-
D.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
-
E.
associatedCountry
Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b96085c81908a43574f4e07e70d |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
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, 8:16 p.m.