Triple
T4259933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee Mitchell International Airport |
E96079
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | MKE |
E427478
|
NE FINISHED |
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: MKE | Statement: [Milwaukee Mitchell International Airport, FAAcode, MKE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MKE Context triple: [Milwaukee Mitchell International Airport, FAAcode, MKE]
-
A.
MKE
MKE is the abbreviated name commonly associated with the Turkish sports club MKE Ankaragücü.
-
B.
MKE
chosen
MKE is the three-letter IATA airport code for Milwaukee Mitchell International Airport, the primary commercial airport serving the Milwaukee, Wisconsin area.
-
C.
Milwaukee
Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
-
D.
Milwaukie
Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
-
E.
Orel
Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c718a3188190851735afc3aa033f |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:06 p.m.