Triple
T38048560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire Brewery |
E949688
|
entity |
| Predicate | cityWithLargeGermanImmigrantPopulation |
P189906
|
FINISHED |
| Object | Milwaukee |
—
|
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: Milwaukee | Statement: [Empire Brewery, cityWithLargeGermanImmigrantPopulation, Milwaukee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityWithLargeGermanImmigrantPopulation Context triple: [Empire Brewery, cityWithLargeGermanImmigrantPopulation, Milwaukee]
-
A.
firstLargeGermanSettlement
Indicates that the subject is the earliest significant settlement established by Germans in the specified place or context.
-
B.
rankInGermanyByPopulation
Indicates the position of an entity in the ordered list of entities in Germany when sorted by their population size.
-
C.
GermanNameOfCapital
Indicates that the given name is the German-language name of a specified capital city.
-
D.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
E.
ethnicallyGermanizedBy
Indicates that an entity has adopted or been assimilated into German ethnic identity, culture, or characteristics as a result of influence or actions by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.