Triple
T22381727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US 151 |
E553290
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Dodgeville, 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: Dodgeville, Wisconsin | Statement: [US 151, connectsCity, Dodgeville, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodgeville, Wisconsin Context triple: [US 151, connectsCity, Dodgeville, Wisconsin]
-
A.
Dodgeville
chosen
Dodgeville is a small city in southwestern Wisconsin that serves as the county seat of Iowa County and a regional hub for the surrounding rural area.
-
B.
Dorchester, Wisconsin
Dorchester, Wisconsin is a small rural village in central Wisconsin known for its agricultural community and tight-knit local character.
-
C.
Cadott, Wisconsin
Cadott, Wisconsin is a small village in Chippewa County known for its rural character and proximity to outdoor recreation in northwestern Wisconsin.
-
D.
Milladore, Wisconsin
Milladore, Wisconsin is a small rural village located in central Wisconsin.
-
E.
Dewey, Wisconsin
Dewey, Wisconsin is a small rural town located in Portage County in the central part of the state.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582cce608190b5324b30f349a3ff |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.