Triple
T29210081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artur Brauner |
E740521
|
entity |
| Predicate | foundedOrganizationCountry |
P32874
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Artur Brauner, foundedOrganizationCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedOrganizationCountry Context triple: [Artur Brauner, foundedOrganizationCountry, Germany]
-
A.
foundingLocationPresentCountry
Indicates the present-day country in which the location where something (typically an organization or institution) was founded is situated.
-
B.
countryOfParentOrganization
Indicates that an organization is located in or associated with the country where its parent organization is based.
-
C.
foundedCompanyInCountry
chosen
Indicates that an entity established or created a company whose founding took place within a specified country.
-
D.
parentOrganizationFoundedIn
Indicates that the parent organization of an entity was established in a specified year or time period.
-
E.
homeCountryDuringFounding
Indicates the country in which an entity (such as an organization or company) was based at the time it was founded.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 28, 2026, 12:10 p.m.