Triple
T17551698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMKE |
E427479
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | MKE |
—
|
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: MKE | Statement: [KMKE, IATACode, MKE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MKE Context triple: [KMKE, IATACode, 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.
Seulo
Seulo is a small municipality in the mountainous interior of Sardinia, Italy, known for its natural landscapes and traditional Sardinian culture.
-
D.
Meket
Meket was an ancient Egyptian queen consort of the 11th Dynasty pharaoh Mentuhotep II.
-
E.
Milwaukee
Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake Michigan.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454664b348190aea3ad59954b2c91 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.