Triple
T17493093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vergennes Township, Michigan |
E425975
|
entity |
| Predicate | hasSubdivisionName |
P12497
|
FINISHED |
| Object | Kent County |
—
|
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: Kent County | Statement: [Vergennes Township, Michigan, hasSubdivisionName, Kent County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent County Context triple: [Vergennes Township, Michigan, hasSubdivisionName, Kent County]
-
A.
Kent County
chosen
Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
-
B.
Kent County
Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
-
C.
Kent County
Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
-
D.
Kent County
Kent County is a predominantly rural county in eastern New Brunswick, Canada, known for its strong Acadian heritage, coastal communities, and natural landscapes along the Northumberland Strait.
-
E.
Kent county
Kent county is a historic county in southeastern England known for its rural landscapes, coastal towns, and proximity to London and the English Channel.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d6bd548190b4c6fae27c2a9ae8 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.