Triple
T21263455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMC Hornet |
E524063
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object | Kenosha, Wisconsin |
—
|
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: Kenosha, Wisconsin | Statement: [AMC Hornet, assemblyLocation, Kenosha, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenosha, Wisconsin Context triple: [AMC Hornet, assemblyLocation, Kenosha, Wisconsin]
-
A.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
B.
Kenosha, Wisconsin, United States
chosen
Kenosha, Wisconsin, United States is a mid-sized industrial and lakeside city on the southwestern shore of Lake Michigan between Milwaukee and Chicago.
-
C.
Washington, Wisconsin
Washington, Wisconsin is a small town located in Eau Claire County in the western part of the U.S. state of Wisconsin.
-
D.
Waukesha, Wisconsin
Waukesha, Wisconsin is a suburban city west of Milwaukee known for its historic downtown, former mineral springs resorts, and location along the Fox River.
-
E.
West Bend, Wisconsin
West Bend, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, access to Kettle Moraine natural areas, and role as a regional commercial and cultural center.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e9b2788190b834ba38367fb6c7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.