Triple
T38048566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Brewery |
E949688
|
entity |
| Predicate | immigrantFounderOriginCountry |
P100971
|
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: [Empire Brewery, immigrantFounderOriginCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrantFounderOriginCountry Context triple: [Empire Brewery, immigrantFounderOriginCountry, Germany]
-
A.
foundingMemberImmigratedFrom
chosen
Indicates that a founding member of an organization or group originally came from or immigrated from a specified place or country.
-
B.
foundingMemberImmigratedTo
Indicates that a founding member of an entity moved from their original country or region to the specified destination location.
-
C.
founderNationality
Indicates that the specified person’s country of origin or citizenship is the one associated with the founder in question.
-
D.
immigratesFrom
Indicates that an entity moves to live in a new country or region, originating from the specified source country or region.
-
E.
countryOfEmigration
Indicates the country from which a person or group has emigrated or moved away.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.