Triple
T17802827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall County |
E444475
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Plattville |
E1028956
|
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: Plattville | Statement: [Kendall County, containsSettlement, Plattville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plattville Context triple: [Kendall County, containsSettlement, Plattville]
-
A.
Plattville
chosen
Plattville is a small village located in Kendall County, Illinois, United States.
-
B.
Platteville, Wisconsin
Platteville, Wisconsin is a small city in southwestern Wisconsin known for the University of Wisconsin–Platteville and its strong college basketball tradition.
-
C.
Plattling
Plattling is a town in southeastern Germany known for its location on the River Isar and its role as a regional transport and commercial hub.
-
D.
Cloquet
Cloquet is a small city in northeastern Minnesota known for its paper mill industry and proximity to Duluth.
-
E.
Muskego
Muskego is a suburban city in Waukesha County, Wisconsin, known for its residential communities and numerous lakes and parks.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f8429de481909fd0c906e49bacb7 |
completed | May 12, 2026, 9:52 a.m. |
Created at: April 10, 2026, 10:13 a.m.