Triple
T15019406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Kankakee Airport |
E378043
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Kankakee |
E1128111
|
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: Kankakee | Statement: [Greater Kankakee Airport, city, Kankakee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kankakee Context triple: [Greater Kankakee Airport, city, Kankakee]
-
A.
Kankakee
chosen
Kankakee is a small city in northeastern Illinois known as a regional center along the Kankakee River, with a mix of industrial, agricultural, and residential communities.
-
B.
Kankakee River
The Kankakee River is a Midwestern U.S. river known for its historically extensive wetlands, recreational opportunities, and role as a tributary of the Illinois River.
-
C.
Mesquakie
Mesquakie are a Native American people originally from the Great Lakes region, closely related to the Sauk and known for their distinct language and cultural traditions.
-
D.
Waunakee
Waunakee is a village in south-central Wisconsin known for its small-town character and its claim as "The Only Waunakee in the World."
-
E.
Missaukee
Missaukee was a Native American leader after whom Missaukee County in Michigan is named.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae09dca88190a832e1b068252137 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:56 a.m.