Triple
T19540748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee, Wisconsin, United States of America |
E488891
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Brew City |
—
|
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: Brew City | Statement: [Milwaukee, Wisconsin, United States of America, hasNickname, Brew City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brew City Context triple: [Milwaukee, Wisconsin, United States of America, hasNickname, Brew City]
-
A.
Brew City
chosen
Brew City is a popular nickname for Milwaukee, Wisconsin, reflecting its historic and influential beer-brewing industry.
-
B.
Big Apple
Big Apple is a short-lived 2001 American crime drama television series created by David Milch that follows New York City detectives working with the FBI to take down organized crime.
-
C.
Beer City USA
Beer City USA is a popular nickname highlighting Grand Rapids, Michigan’s nationally recognized craft beer scene and dense concentration of breweries.
-
D.
Beer City USA
Beer City USA is a popular nickname highlighting Bend, Oregon’s renowned craft beer scene and high concentration of breweries.
-
E.
The Big Apple
The Big Apple is a famous nickname for New York City, evoking its status as a major global center of culture, finance, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63872fda48190bbb1f465cb7b57fe |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.