Triple
T16420609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Cities |
E398807
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kimberly, Wisconsin |
E1118423
|
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: Kimberly, Wisconsin | Statement: [Fox Cities, hasCity, Kimberly, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly, Wisconsin Context triple: [Fox Cities, hasCity, Kimberly, Wisconsin]
-
A.
Kimberly, Wisconsin
chosen
Kimberly, Wisconsin is a small village in Outagamie County known historically as a paper mill community along the Fox River in northeastern Wisconsin.
-
B.
Kimball, Wisconsin
Kimball, Wisconsin is an unincorporated community located in Iron County in the northern part of the state.
-
C.
Wilmot, Wisconsin
Wilmot, Wisconsin is a small unincorporated community in Kenosha County known for its proximity to the Wilmot Mountain ski and snowboard area.
-
D.
Knight, Wisconsin
Knight, Wisconsin is a small unincorporated community located in Iron County in the northern part of the state.
-
E.
Kingston, Wisconsin
Kingston, Wisconsin is a small rural village in Green Lake County known for its quiet community and location along key regional routes in central Wisconsin.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f735b08190aec8331f54817462 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00581245108190842cfd68ec640236 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:09 a.m.